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SANTOSO SANTOSO
Universitas Gadjah Mada
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Organizational Capability of Jasinga District, Bogor Regency in Development of Village Administration Santoso, Santoso; Tukiran, Martinus; Rusliandy, Rusliandy; Juanda, Enda; Wardani, Peni Arianita
Jurnal Mamangan Vol 12, No 1 (2023): Jurnal Ilmu Sosial Mamangan Accredited 3 (SK Dirjen Ristek Dikti No. 158/E/KPT/
Publisher : LPPM Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/mamangan.v12i1.6584

Abstract

ABSTRACT The study aimed to analyze the organizational capabilities of the Jasinga District, Bogor Regency, in fostering the administration of village government with a broader scope of tasks and extensive budget management. The method is a descriptive qualitative approach with data collection techniques using interviews, observation, and literature studies. The analytical knife used is the concept of organizational capability put forward by Neo and Chan. The study's results stated that there were obstacles in the aspects of able people and agile processes, including limited staff, barriers to competency development, team member recruitment that could have used the merit system, substandard educational qualifications, and limited resources. This condition results in flawed thinking ahead, thinking again, and thinking across, which must be developed within the organization. The recommendations proposed are improving able people and agile processes by increasing educational qualifications, competency development programs, and merit system-based recruitment. Districts must also apply thinking ahead, thinking again, and thinking across in building dynamic organizational capabilities. Meanwhile, in the context of optimizing the development of village government administration, it is necessary to develop competence in the field of village administration for sub-district officials.
THE USE OF THINK PAIR SHARE LEARNING MODEL TO INCREASE CREATIVITY OF GRADE V STUDENTS Fatimah, Siti; Santoso, Santoso; Riswari, Lovika Ardana
Indonesian Journal of Educational Development (IJED) Vol. 5 No. 2 (2024): August
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59672/ijed.v5i2.3879

Abstract

This research is motivated by monotonous learning using conventional models such as lectures can cause limited student creativity. The purpose of this study was to improve students' creativity in working on macrame skills by using the Think Pair Share model. Classroom Action Research method consisting of 2 cycles with 2 meetings. The research subjects in the fifth grade of SDN 1 Soco in the 2023/2024 school year were 18 students with 14 male students and 4 female students. The data analysis techniques used are quantitative and qualitative, qualitative data obtained from observations and interviews, while quantitative data through performance tests. The results showed significant results, the assessment of student creativity by applying the Think Pair Share learning model got an average score of 66 in cycle I with a percentage of completeness of 17%, increased to 88 in cycle II with a percentage of completeness of 89% which means it falls into the creative category.
Sistem Pakar Pemilihan Alat Kontrasepsi KB Pada Kantor DPP dan KB Kota Tanjungbalai Purnama, Rezeki; Syafwan, Havid; Santoso, Santoso
J-Com (Journal of Computer) Vol. 1 No. 3 (2021): November 2021
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v1i3.1389

Abstract

Abstract: The use of contraception is one solution in overcoming the rising pregnancy rate which is part of the Family Planning (KB) program. The problem that occurs today is the lack of public knowledge in choosing contraceptives that are in accordance with health conditions. Limited time, place and experts in conveying the right contraceptive information is one of the obstacles. With the existence of an expert system which is a computer-based application, it will be able to solve problems as thought by experts. The design of this expert system is built to diagnose the type of contraception that is suitable according to health conditions. Knowledge of an expert, namely a midwife or obstetrician in diagnosing contraceptives that are in accordance with the health conditions of the acceptor's body implanted in a system using the Forward Chaining method. From these criteria, the system will conclude which contraception is suitable for use. With this expert system, it will help users and make it easier to determine the choice of the appropriate contraceptive. The test results show that the expert system application made is feasible and can be used by the community in conducting computerized consultations. This application is made using the PHP programming language and MySQL as the database server. Keywords: Expert System;Forward Chaining Method;Contraceptive Devices;Family   Planning (KB)           Abstrak: Penggunaan alat kontrasepsi  adalah salah satu solusi dalam mengatasi naiknya tingkat kehamilan yang merupakan bagian dari program Keluarga Berencana (KB). Permasalahan yang terjadi saat ini adalah masih minimnya pengetahuan masyarakat dalam memilih alat kontrasepsi yang sesuai dengan kondisi kesehatan. Keterbatasan waktu, tempat dan tenaga para ahli dalam menyampaikan informasi alat kontrasepsi yang tepat menjadi salah satu kendalanya. Dengan adanya sistem pakar yang merupakan aplikasi berbasis komputer nantinya dapat menyelesaikan masalah sebagaimana yang dipikirkan oleh para pakar. Perancangan sistem pakar ini dibangun untuk mendiagnosa jenis kontrasepsi yang cocok sesuai dengan kondisi kesehatan. Pengetahuan seorang pakar yaitu bidan atau dokter ahli kandungan dalam mendiagnosa alat kontrasepsi yang sesuai dengan kondisi kesehatan tubuh akseptor yang ditanamkam pada sebuah sistem menggunakan metode Forward Chaining. Dari kriteria-kriteria tersebut sistem akan menyimpulkan alat kontrasepsi yang sesuai untuk digunakan. Dengan adanya sistem pakar ini akan membantu pengguna dan mempermudah  dalam menentukan pilihan alat kontrasepsi yang sesuai. Hasil uji menunjukan bahwa aplikasi sistem pakar  yang dibuat layak dan bisa digunakan oleh masyarakat dalam melakukan konsultasi secara komputerisasi. Aplikasi ini dibuat menggunakan bahasa pemrograman PHP dan MySQL sebagai database server. Kata kunci: Sistem Pakar;Metode Forward Chaining;Alat Kontrasepsi;Keluarga Bere-ncana (KB)
SCM DALAM MANAJEMEN STOK PADA TOKO BUDI SPAREPART AIR JOMAN BERBASIS WEB Safitri, Ayu; Ramdhan, William; santoso, Santoso
J-Com (Journal of Computer) Vol. 4 No. 2 (2024): JULI 2024
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v4i2.3222

Abstract

Abstract: Kedai Budi Sparepart is a shop that sells motorcycle spare parts. Kedai Budi Sparepart is located on Tanjungbalai Air Joman Street, Air Joman District, Asahan Regency. Kedai Budi Sparepart faces a problem if the supplier still enters the goods manually and records them in the ledger. This can cause errors. Errors in entry, calculation, and recording are common problems in manual bookkeeping. It can lead to inaccurate inventory information, which can affect customer satisfaction and operational efficiency. SCM is a set of applied and integrated methods for suppliers, stores, and other storage areas. This is done effectively and efficiently due to the complex business processes and the many parties involved. This system will be built using the PHP programming language and MySQL database. the researc method used is qualitative research. The results of this study found that the use of a web-based supply chain management system can help overcome the slow response of suppliers to Kedai Budi's spare parts if they are out of stock or in minimal stock conditions. Furthermore, this method can be used to overcome suppliers who do not know the stock of spare parts in real-time, so as not to disrupt the sales process to suppliers.    Keywords: Supply Chain Management; Stock Management; Budi Spareparts Store.  Abstrak: Kedai Budi Sparepart adalah Kedai yang menjual suku cadang sepeda motor. Kedai Budi Sparepart terletak di jalan Tanjungbalai Air Joman, Kecamatan Air Joman, Kabupaten Asahan. Kedai Budi Sparepart menghadapi masalah jika supplier masih memasukkan barang secara manual dan mencatatnya di buku besar. Ini Bisa menyebabkan kesalahan. Kesalahan dalam pemasukan, perhitungan, dan pencatatan adalah masalah umum dalam pembukuan manual. Karena Bisa menyebabkan informasi persediaan yang tidak akurat, yang Bisa memengaruhi kepuasan pelanggan dan efisiensi operasional. SCM adalah sekumpulan metode yang diterapkan dan terintegrasi untuk pemasok, kedai, dan area penyimpanan lainnya. Ini dilakukan secara efektif dan efisien karena proses bisnis yang kompleks dan banyaknya pihak yang terlibat. Sistem ini akan dibangun dengan menggunakan bahasa pemrograman PHP dan database MySQL. Metode penelitian yang digunakan adalah penelitian kualitatif. Adapun hasil penelitian ini menemukan bahwa penggunaan sistem manajemen rantai pasokan berbasis web Bisa membantu mengatasi lambatnya respons supplier terhadap sparepart Kedai Budi jika ada stok yang sudah habis atau dalam kondisi stok minimal. Selanjutnya, metode ini Bisa digunakan untuk mengatasi supplier yang tidak mengetahui stok sparepart secara real-time, sehingga tidak mengganggu proses penjualan kepada supplierKata kunci: Supply Chain Management; Manajemen Stok; Kedai Budi Sparepart
KOMPARASI PENDEKATAN SES DAN SMA UNTUK PREDIKSI HASIL PRODUKSI KELAPA SAWIT Fahdrina, Jihan Aulia Putri; Anggraeni, Dewi; Santoso, Santoso
J-Com (Journal of Computer) Vol. 5 No. 1 (2025): MARET 2025
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v5i1.3812

Abstract

Abstract: Palm oil is a key commodity that requires accurate production planning to support budget and operational efficiency. PT Buana Sawit Indah, a company managing palm oil plantations, faces challenges in forecasting future production, necessitating a computerized forecasting system. This study aims to develop a forecasting system using the Single Exponential Smoothing (SES) and Single Moving Average (SMA) methods to predict palm oil production. The results indicate that both methods are effective; however, SMA with a Moving Average (MA) of 5 provides the best forecasting results, with a MAD of 165,941.64, an MSE of 65,823,372,491.27, and an MAPE of 15.66%, categorized as "good" forecasting. Meanwhile, the SES method with α = 0.9 yields the lowest error compared to other alpha values, with a MAD of 154,586.25, an MSE of 33,192,818,696.83, and an MAPE of 16.91%, also classified as "good" forecasting. Based on these findings, the SMA method with MA 5 is recommended as it produces lower forecasting errors than the SES method. Therefore, this forecasting system can assist the company in planning palm oil production more accurately and efficiently, supporting better decision-making in the future.  Keywords: palm oil; forecasting; production; single exponential smoothing; single moving average Abstrak: Kelapa sawit merupakan komoditas utama yang memerlukan perencanaan produksi yang akurat untuk mendukung efisiensi anggaran dan operasional. PT Buana Sawit Indah, salah satu perusahaan yang mengelola perkebunan kelapa sawit, sedang menghadapi kesulitan dalam memperkirakan hasil produksi di masa mendatang, sehingga diperlukan sistem peramalan berbasis komputer. Penelitian ini bertujuan mengembangkan sistem peramalan menggunakan metode Single Exponential Smoothing (SES) dan Single Moving Average (SMA) untuk memprediksi produksi kelapa sawit. Hasil penelitian menunjukkan bahwa kedua metode cukup efektif, namun SMA dengan Moving Average (MA) 5 memberikan hasil peramalan terbaik dengan nilai MAD sebesar 165.941,64, MSE sebesar 65.823.372.491,27, dan MAPE sebesar 15,66%, yang dikategorikan sebagai peramalan “bagus.” Sementara itu, metode SES dengan α = 0,9 menunjukkan nilai kesalahan lebih rendah dibanding nilai alpha lain, dengan MAD sebesar 154.586,25, MSE sebesar 33.192.818.696,83, dan MAPE sebesar 16,91%, yang juga termasuk kategori peramalan “bagus.” Berdasarkan hasil tersebut, metode SMA dengan MA 5 lebih direkomendasikan karena menghasilkan tingkat kesalahan yang lebih rendah dibandingkan metode SES. Dengan demikian, sistem peramalan ini dapat membantu perusahaan dalam merencanakan produksi kelapa sawit secara lebih akurat dan efisien untuk mendukung pengambilan keputusan yang lebih baik di masa mendatang. Kata kunci: kelapa sawit; peramalan; produksi; single exponential smoothing; single moving average
MENGGUNAKAN METODE FORWARD CHAINING UNTUK ANALISIS PENYAKIT STUNTING PADA BALITA Kateren, Futri; Agus, Raja Tama Andri; Santoso, Santoso
J-Com (Journal of Computer) Vol. 5 No. 1 (2025): MARET 2025
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v5i1.3824

Abstract

Abstract: Stunting is a serious health issue in infants caused by chronic malnutrition during the first 1,000 days of life. This condition affects physical growth and cognitive development, which can impact the quality of human resources in the future. The city of Tanjungbalai still faces a high prevalence of stunting, requiring more effective prevention and treatment measures. However, limited access to experts poses a challenge for parents in obtaining adequate information and consultation services. This study aims to develop a web-based expert system capable of analyzing stunting symptoms in infants using the forward chaining method. This method works by tracing the facts provided by users to reach a conclusion about the likelihood of stunting. The system is expected to assist parents in identifying stunting risks and providing appropriate prevention and treatment recommendations. The system is developed using the PHP programming language and MySQL database. The research findings indicate that the expert system can analyze stunting symptoms quickly and accurately, making it an effective tool in supporting stunting prevention efforts.            Keywords: expert system; stunting; forward chaining; toddlers Abstrak: Stunting merupakan masalah kesehatan serius pada balita yang terjadi akibat kekurangan gizi kronis selama 1000 hari pertama kehidupan. Kondisi ini berdampak pada pertumbuhan fisik dan perkembangan kognitif anak, yang dapat mempengaruhi kualitas sumber daya manusia di masa depan. Kota Tanjungbalai masih menghadapi angka prevalensi stunting yang cukup tinggi, sehingga diperlukan langkah-langkah pencegahan dan penanganan yang lebih efektif. Namun, keterbatasan akses terhadap tenaga ahli menjadi hambatan bagi orang tua dalam memperoleh informasi dan layanan konsultasi yang memadai. Penelitian ini bertujuan untuk mengembangkan sistem pakar berbasis web yang mampu menganalisis gejala stunting pada balita menggunakan metode forward chaining. Metode ini bekerja dengan menelusuri fakta-fakta yang diberikan oleh pengguna untuk menghasilkan kesimpulan mengenai kemungkinan stunting. Sistem ini diharapkan dapat membantu orang tua dalam mengenali risiko stunting serta memberikan rekomendasi pencegahan dan penanganan yang sesuai. Sistem ini dikembangkan menggunakan bahasa pemrograman PHP dan database MySQL. Hasil penelitian menunjukkan bahwa sistem pakar yang dirancang mampu menganalisis gejala stunting secara cepat dan akurat, sehingga dapat menjadi alat bantu yang efektif dalam mendukung upaya pencegahan stunting. Kata kunci: sistem pakar; stunting; forward chaining; balita
PENGEMBANGAN KONSEP RINTISAN EDU WISATA DI UKM CITARA DESA BANJARARUM KEC. SINGOSARI KAB. MALANG Nurhadi, Nurhadi; Wiharya, Chandra; Santoso, Santoso; Listiyono, Listiyono; Walid, Achmad
Jurnal Abdi Insani Vol 11 No 3 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i3.1741

Abstract

UKM Citara is developing a seaweed processing business and cultivating catfish in bioflock ponds together with community members as a food security effort due to the impact of the Covid 19 pandemic at the beginning of 2020. Several government/private agencies have visited UKM to learn about seaweed processing and bioflock catfish cultivation, including vocational school students/internship students.  The problem is that the cultivation area of ​​± 2,000 m has not been utilized optimally and SMEs do not yet have an educational tourism concept for their visitors. The aim of the activity is to optimize land use and design a pilot concept for bioflock fish cultivation tourism. The hope is that the cultivated land will be utilized optimally and there will be educational facilities for other parties who come to UKM. The activity method is creating a tourism edu pilot concept in the form of learning tutorials and exploring places at UKM Citara, creating visual images of tourism edu pilots, installing smart ponds, gazebos, gates and irrigation channels in the UKM Citara bioflock fish farming area. The result of this community service activity is the realization of the concept and realization of a tourism edu pilot for seaweed processing and bioflock fish cultivation at UKM Citara which can improve the functionality of ± 2,000 m of empty land which was originally only used for bioflock fish cultivation, then developed into a tourism edu pilot area. which is useful. Visitors can receive education in the form of tutorials on processing seaweed products and cultivating bioflock fish and can explore seaweed processing and bioflock fish cultivation sites. This activity has increased the use of empty land and realized a pioneering educational tourism concept that needs further development.
PENERAPAN METODE KLASTERISASI K-MEANS UNTUK STRATEGI PROMOSI PADA SMK TAMANSISWA SUKADAMAI Purwanti, Teti; Ramdhan, William; Santoso, Santoso
JUTSI: Jurnal Teknologi dan Sistem Informasi Vol. 1 No. 2 (2021): June 2021
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jutsi.v1i2.1156

Abstract

Abstract: SMK Tamansiswa Sukadamai is one of the private schools in Pulo Bandring District which annually admits new students, this will affect the amount of student data that goes up and down. So far, SMK Tamansiswa Sukadamai has implemented a promotional strategy but it is still not optimal because the number of students registered at SMK Tamansiswa Sukadamai is more dominant in certain areas. Based on this, we need a technique that is able to assist in transforming the data into useful information, namely by applying data mining for promotional strategies, which can be the basis or guideline for promotional strategies based on areas where there are not many students present. The application of the k-means clustering method for promotional strategies can assist in the data grouping process in the form of data grouping results for C1 "Potential" and C2 "Potential", where C1 is the right area for more optimal promotion so that promotion is more effective and efficient. With the development of this clustering system, it can provide input to schools to determine which areas are more optimal for more in-depth promotion. Keywords: Promotion Strategy; Application of the K-means clustering method  Abstrak: SMK Tamansiswa Sukadamai merupakan salah satu sekolah swasta yang ada di Kecamatan Pulo Bandring yang setiap tahunnya melakukan penerimaan siswa baru, hal ini akan berpengaruh pada jumlah data siswa yang pasang surut. Selama ini SMK Tamansiswa Sukadamai telah melakukan strategi promosi akan tetapi masih belum optimal dikarenakan jumlah siswa yang terdaftar di SMK Tamansiswa Sukadamai lebih dominan berasal di wilayah tertentu saja. Berdasarkan hal tersebut diperlukan suatu teknik yang mampu membantu dalam mentransformasikan data tersebut menjadi informasi yang berguna yaitu dengan menerapkan data mining untuk strategi promosi, yang dapat menjadi dasar atau pedoman untuk strategi promosi berdasarkan wilayah yang tidak banyak dalam menghadirkan siswanya. Penerapan metode klasterisasi k-means untuk strategi promosi dapat membantu dalam proses pengelompokan data dalam bentuk hasil pengelompokan data C1 “Berpotensi” dan C2 “Tidak Berpotensi”, dimana C1 merupakan wilayah yang tepat untuk dilakukan promosi yang lebih optimal sehingga promosi lebih efektif dan efisien. Dengan dikembangkannya sistem klasterisasi ini, maka dapat memberikan masukan kepada pihak sekolah untuk menentukan wilayah yang lebih optimaluntuk promosi lebih mendalam. Kata kunci: Strategi Promosi; Penerapan metode Klasterisasi K-Means
PENERAPAN METODE K-NEAREST NEIGHBOR UNTUK MEMPREDIKSI PENJUALAN PRODUK REMPAH-REMPAH TERLARIS PADA TOKO HJ FATIMAH Teres, Ella Octa; Rizaldi, Rizaldi; Santoso, Santoso
JUTSI: Jurnal Teknologi dan Sistem Informasi Vol. 4 No. 2 (2024): JUNE 2024
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jutsi.v4i2.3347

Abstract

Abstract: Hj Fatimah Store is a retail business that sells a variety of spice products. The store is not computerized yet, so employees still record reports manually. Hj Fatimah Store faces challenges in predicting the sales of its best-selling spice products, leading to stockouts, difficulties in inventory planning, and the lack of a computerized system to forecast product sales. In this context, data mining plays a crucial role in uncovering knowledge from data sets that is not easily discovered through manual analysis. The system aims to predict the best-selling spice products at Hj Fatimah Store by applying the K-Nearest Neighbor (KNN) method. This method is expected to assist in stock planning and address stockout issues. K-Nearest Neighbor is a classification technique that groups data based on the proximity or distance between data points. The purpose of applying the K-Nearest Neighbor algorithm is to classify new objects using attributes and training samples. The data to be used in this system includes sales at Hj Fatimah Store from June 2022 to May 2023. The results of the implementation and testing demonstrate that the designed system for Hj Fatimah Store aims to predict the best-selling spice products, facilitating inventory planning and helping the store manage data more effectively and produce accurate reports..Keywords: K-Nearest Neighbor; HJ Fatimah Shop; Rempah-Rempah ; LarisAbstrak: Toko Hj Fatimah merupakan usaha yang bergerak dibidang retail, yang menjual berbagai macam produk rempah-rempah. Toko Hj Fatimah ini belum terkomputerisasi sehingga pegawai masih saja pencatatan laporan secara manual. Toko Hj Fatimah mengalami kesulitan dalam memprediksi penjualan produk rempah-rempah terlaris sehingga mengalami kehabisan stok, sulit dalam perencanaan persediaan stok dan belum adanya sistem komputerisasi yang dapat memprediksi penjualan produk. Dalam hal ini, data mining sangat berperan penting dalam mengungkap pengetahuan dari kumpulan data yang tidak mudah diketahui melalui analisis manual. Sistem ini bertujuan untuk memprediksi penjualan produk rempah-rempah terlaris di Toko Hj Fatimah dengan menerapkan metode K-Nearest Neighbor (KNN). Metode ini diharapkan dapat membantu perencanaan stok dan mengatasi masalah kehabisan stok. K-Nearest Neighbor adalah teknik klasifikasi yang mengelompokkan data berdasarkan kedekatan atau jarak antara titik data. Tujuan penerapan algoritma K-Nearest Neighbor adalah untuk mengklasifikasikan objek baru menggunakan atribut dan sampel pelatihan. Data yang akan digunakan dalam sistem ini mencakup penjualan di Toko Hj Fatimah dari Juni 2022 hingga Mei 2023. Dari hasil implementasi dan pengujian hasil dapat dijelaskan bahwa sistem yang dirancang pada toko HJ Fatimah merupakan suatu rancangan untuk memprediksi penjualan produk rempah-rempah terlaris pada toko Hj Fatimah yang dapat memudahkan pihak toko dalam perencanaan kebutuhan stok produk rempah-rempah. Dengan rancangan ini diharapkan mampu mempermudah pihak toko HJ Fatimah bisa mengelola data dengan baik serta mendapatkan hasil laporan.Kata Kunci: K-Nearest Neighbor; Toko HJ Fatimah; Rempah-Rempah; Laris 
PENINGKATAN KOMPETENSI SUPERVISI KEPALA SEKOLAH MELALUI PEMBIMBINGAN DENGAN TEKNIK SUPERVISI INTEL Santoso, Santoso
Jurnal Sosialita Vol. 12 No. 2 (2019): JURNAL SOSIALITA
Publisher : Program Magister Pendidikan IPS UPY

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

SantosoABSTRAKTujuan Penelitian ini adalah untuk meningkatkan kompetensi supervisikepala sekolah melalui pembimbingan dengan teknik supervisi Intel. Dalampenelitian ini dilaksanakan 2 (dua) siklus. Setiap siklus terdiri empatlangkah yakni perencanaan, tindakan, pengamatan atau observasi danrefleksi. Hasil penelitian menunjukkan bahwa pembimbingan olehpengawas dan kompetensi supervisi kepala sekolah sebelum dilakukanpembimbingan dengan teknik supervisi Intel masih rendah. Hasil evaluasidiri proses pembimbingan memperoleh skor nilai 2,00 sedangkankompetensi supervisi kepala sekolah dengan nilai rerata 63,08. Setelahdilakukan pembimbingan dengan teknik supervisi Intel terdapatpeningkatan, hasil pengamatan pembimbingan oeh pengawas mencapai3,10 pada siklus I, dan pada siklus II mencapai 3,20 dengan kategori AmatBaik. Kompetensi Supervisi kepala sekolah mencapai rerata 75,88 padasiklus I, dan pada siklus II rerata nilai kompetensi supervisi kepala sekolahadalah 84,12. Total kenaikan dari kondisi awal ke kondisi akhir adalah21,04 atau 33,35 %Kata Kunci : Pembimbingan, Supervisi Intel, Kompetensi Supervisi KepalaSekolah.This research purports to improve headmasters’ supervisory competenceusing intel supervision technique guidance. This research was conducted in2 (two) cycles. Each cycle consisted of four stage i.e. planning, action,observation and reflection. The result of the research indicates thatguidance by supervisors and headmasters’ supervisory competence prior tothe provision of intel supervision technique guidance were low. Selfevaluationresulted in supervision score 2,00 while headmasters’supervisory competence averaged 63,08. After the implementation of intelsupervision technique guidance there was improvement i.e. result fromsupervision evaluation by observers reached 3,10 in cycle I, and in cycle IIimprove further to 3,20 and falls within Very Good category. Headmasters’supervisory competence averaged 75,88 in cycle I, and in cycle II theirsupervisory competence rose to 84,12. Total improvement from originalstate to final state is 21,04 atau 33,35 %Keywords: Guidance, Intel Supervision, Headmasters’ supervisorycompetence
Co-Authors A.A. Ketut Agung Cahyawan W AD Lubis, AD Ade Wiguna Nur Yasin Adi Prayitno Adriaty Basyarach, Niken Adriaty, Niken Afifah, Nur Laila Agung Slamet Kusmanto Agus Wahyana Anggara, Agus Wahyana Agus, Raja Tama Andri Ahmad Hanif Firdaus Ahmad Hilal Madjdi, Ahmad Hilal Ajeng Safitri Aksari, Ika Hardiyan Al Munawar, Muhammad Martadho Al Munawar Alexander, Anthony Ray Alfanan, Azir Alqodri, Moch Fiqri Alyana, Adinda Ayu AM Mufarrih Amalia Amalia Amroellah, Afif Anak Agung Gede Sugianthara Andianito, Delyo Andri Sutrisno Andri Winjaya Laksana, Andri Winjaya Andriani, Asih Andrianti, Septi Anggara, Agus W Anggreani, Dewi Anggun Wulandari Anugraheni, Anggie Widari Anwar, Rahma Isartina Apriliani, Nike Arditha Aprioza Yenni Arief, Muhammad Zaini Ariono, Sujud Aris Heri Andriawan, Aris Heri Arisandhi, Sovia Arista Kiswantoro, Arista Ariyanto Nugroho Arjuna, Arjuna Arkani, Hari Arman Syahputra, Arman Asdani Soehaimi, Asdani Ashari, Mahfud ASRIL ASRIL Augustin, Alena Ayu Safitri Balok Hariadi Balok Hariadi, Balok Bambang Setiawan Banjarnahor, Dedi Marcell Berlian, Raisa Betriyon Betriyon Boimau, Nudup Yeremia Brestina Gultom Budi, Akhyar Dhifi Reza Pratama Budiyanti Wiboworini Cahyo Budi Utomo Cahyono, Mochammad Irfan Candra Aditya Carolina, Vania Chafid, Abdul Chairul Insani Ilham Chandra Halim Chandra Wiharya Chatarina Umbul Wahyuni Choirul Amin Christiana Sebatubun, Magdalena Priska Dani, Agus Dasuki, Mohammad David Try Liputra Deprizon, Deprizon Deriansyah Eka Putra Desi Indriyani Dewi ANGGRAENI Dewi Lestari Dewi, Devi Cynthia Diah Kurniati Dini Yuliani Djauhari, Teuku Doharman Lumban Tungkup Doni Winarso, Doni Dwi Ningsih, Sutinah Dwi Nugroho, Aryanto Edris Zamroni Eka Martyani Eko Yudiyanto eKO, Dedin Rohmat Ellis Setyowati Erik Aditia Ismaya Fadhurosi, Adnan Fahdrina, Jihan Aulia Putri Faisal Husni, Akhmad Fatoni, Bayu Rizki Fauzun Fauzun Febriani, Desi Febriansyah Febriyanto Firdaus, Alfina Ni’matul Firmansyah Firmansyah Firmansyah, Dimas Gita Fitri Budi Suryani, Fitri Budi Florence Leony, Florence Frittandi, Frittandi Furqon , Maulana Gandara, Dadang Gudnanto, Gudnanto Guntoro, Guntoro Hafid, Anita Hakim, Romla Noor Hamid, Abdurrahman Handayani, Nor Handayani, Redjeki Hari Jalsa Marpaung Harijono, Agus HARIYANTO HARIYANTO Hartayu, Ratna Hasanah , Ayu Cahyati Havid Syafwan Henry Suryo Bintoro Hera Agustina herdis herdis Herlina, Meti Herman Mulyana Hermawati Thamrin Herniwanti Herniwanti Heryanto, M Ary Hetty Rohayani Hia, Baliterofi Hidaya, Judge Junizar Himawan Sutanto, Himawan Husna, Nurul Auliani Huwae, Manuel I Gede WD Ida Ayu Putu Sri Widnyani Ikke Yamalia Imam Bukhori Imam, Achmad Shokhibul Imawati, Linda Imti Tsalil Amri Indah Lestari, Indah Indriyani, Fitri Ingkiriwang, Rafeald Henry Insani, Riqsal Mochamad Nur Irianto Irianto Irmawati Nasution Irpan Pahlepi, Rahman IWA Darmawan, IWA Jabaruddin, Abdul Jaelani, LM. Janna, Hakidatul Jauhari F, Dukan Jaya Perkasa, Muhammad Elga Jeperson Hutahaean Joko Santoso Juanda, Enda Juli Widiyanto Julianti, Muhammad Ramaddan Kartika Riyanti, Kurnia Paranita Kartika Suhada Kartika, Juli Katarina Sri Rahayu, Katarina Sri Kateren, Futri Kelana, Sri Khairani, Muhammad Kharisma Hendra khofi, Mohammad Bilutfikal Kifti, Wan Mariatul Kiftiyah, Mariatul Kukuh Setyadjit, Kukuh Kumari, Kumari Kusumaningtyas, Yuniar Mima Kuswiyanti, Tanti Sri Lestari, Ade Dili Lestari, Cristina Puji Lisia, Lisia Listiyono, Listiyono Lita, Lita Lovika Ardana Riswari Lubis, Syafaat Sufi Lupitasari, Florentina Bety Indah M Ary Heryanto M Surachman Mabarun, Akhmad Madjdi, A. Hilal maharani, annisaa diyah faulin Mahardika Agus Wijayanti Mahari, Desiana Ade Mahyaningtyas, Fransisca Pradnya Makomulamin Makomulamin, Makomulamin Maman Rachman Manuela, Rheakova Sarita Mardinata, Muhammad Rico Putra Maria Angela Kartawidjaja Maridyah, Rodhyatam Martak, Yusuf Faisal Martinus Tukiran Marzuki Marzuki Masbie, Fadhelia Trinanda Mega Hasanul Huda Melayu, Donny Afrizal Milana Salim Mizan Asnawi, Mizan Mizbahuzzaman, Muhammad Mochamad Widjanarko Moekarto Moeliono, Moekarto Much Arsyad Fardani Mufaridah, Mufaridah Mufiendra, Dwi Ilna Muflikatun, Muflikatun Muhamad Fahmi Amrillah Muhamadiah, Muhamadiah Muhammad Agus Muljanto Muhammad Ridla MUHAMMAD RIZAL Muhammad Taufiqurrahman, Muhammad Muhammad Umar Riandi Munawar, Fajar Munsyi, Munsyi Mursyid, Saadilah Murtono Murtono Nafiur Rofiq, M Nanang Budianto, Nanang Nani Yunani, Nani Nasrina, Nur Nasution, Akmal Nasution, Anggiani Nia Syafrila, Wirfa Nicky Suwandhy Widhi Supriyanto Nikmawati, Nikmawati Niko, Puti Febrina Nofriadi Nofriadi Noor, Subardiya Nova Nova Nugroho, Aryanto Dwi Nungki Hapsari Suryaningtyas, Nungki Hapsari Nungki Hapsari, Nungki Nur Fitriyana Nurani, Widiya Putri Nurdiansyah Saputra Nurhadi Nurhaliza, Rizky Nurlaili Nurlaili nurlatifah, aeni Nurmalitasari, Keke Shabrina Nurwati Nurwati Panggabean, Yunita Paranita, Kurnia Pramita Sylvia Dewi Prasetya, Bagus Catur Puji Slamet, Puji Purba, Nelvitia Purnama, Rezeki Purwanti, Teti Putra, Dedy Juliansyah Putri Rahmadani, Putri Putri, Adinda Alvita R, Marcellinus Dias R. Irpan Pahlepi Rahakbauw, Hamid Zulkarnain Raharjo, Ronal Rahayu Hasti Komaria, Rahayu Hasti Rahayu, Elly Rahayu, Endang Purnawati Rahayuningtyas , Ari Rahmadanti , Lusiani Rainisa Maini Heryanto Ramadhany, Mustopa Dwi Ramdhan, William Ratna Hartayu Ratna Hartayu, Ratna Ray, Hamidie Ronald Daniel Razkia, Dwita Richma Hidayati Ridho’i, Ahmad Rifqil Khairi rika septianingsih Risnawati Risnawati Rizaldi, Rizaldi Rizki Priya Pratama, Rizki Priya Rofah, Aisyah Rohminatin, Rohminatin Ronald Sukwadi Rondli , Wawan Shokib Rosadi, Ade Rudy Wawolumaja Rusliandy, Rusliandy Rustandi, Jessica Octaviani Salsabila Rizki, Diva Samsu Samsu Samsul Hadi Saputra, Endra Sari Melati, Sari Sari, Siwi Villa Intan Saut Siagian, Saut Sekar Dwi Ardianti Sepdian Retnosari Setiawan Setiawan Setyawan, Azis Budi Shidiq, Nujhad Siagian, Yessica Silfiani, Adawiyah Siregar, Iqbal Kamil Siregar, Putri Zakiyah Maharani Sitaresmi, Pradita Iustitia Siti Fatimah Siti Indarwati Siwi Dyah Ratnasari Soekardi, Rodiyah Sri Utaminingsih Stiadjit, Kukuh Suad, Suad Sucipto Sucipto Sudarmin Sudarmin Suhardi Marli Sukirman Sukirman Sukmah, Bhian Sukojo , Bangun Muljo Sulikhah, Sulikhah Sultoni, Kuston Sumarni, Rani Sunarmi Sunarmi Supargiyono Supargiyono Suprapti Suprapti Suriansyah Sabarudin Susanto, Nadya Ariella Sutalaksana, Iftikar Z Sutanto Sutanto Sutrisno, Slamet Prasetyo Suwarto Suwarto Suyahmo Suyahmo Swarga, Lutfi Agung Syafira, Shella Syahfitri, Novianti Syaikhu, Ach Syamsiati, Syamsiati Syamsul Arifin Syariati, Tri Puput Tandy, Juliana Teres, Ella Octa Tia Lestari, Tia Tjahjono, A Agus Ungkap M. Lumbanatu, Ungkap M. Ungkap M.Lumbanbatu, Ungkap Utami, Fisca Dian Utomo, Slamet Vivi Arisandhy Vivin Mahdalena, Vivin W Negara, W W Winarsih Wahdania, Annisa Wahyi Busyro, Wahyi Wahyu Setyo Pambudi Walid, Achmad Warandi, Rofandi Rori Aditiar Wardani, Peni Arianita Wawan Shokib Rondli Widayanti, Yuyun Wijanarto, Antonius B. Wijaya, Novan Gunawan Winarto, Abdul Haris Winoko , Yuniarto Agus Wiyati, Indar Wulan, Nuning Zumar Yahya Yahya Yansyah, Muhammad Fahmi Yantiningsih, Dewi Yeni Yarnita Yudhi, Taufik Yulian Taviv Yulianto, Fian Arif Yusda, Riki Andri Yuwono, Purwanto Yugo Zaenap, Siti Zaman, Kamali Zaman, M Kamali Zaman, M. Kamali