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PENGARUH KECERDASAN INTELEKTUAL, KECERDASAN EMOSIONAL, DAN KECERDASAN SPIRITUAL GURU TERHADAP PRESTASI BELAJAR SISWA (Studi Empirik Penilaian Terhadap Guru Oleh Siswa Kelas XII Akuntansi Di Sekolah Menengah Kejuruan Kota Tangerang) Mulyanto, Sigit
Jurnal Aplikasi Manajemen Pendidikan Vol 3, No 1 (2015)
Publisher : Jurnal Aplikasi Manajemen Pendidikan

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

The purpose of this research is to analyze the influence of intelectual intelligence, emotional intelligence, and teacher spiritual intelligencetoward student’s achievement.This research was done at two Vocational High School for accountancy in Tangerang. Methods usedbyresearchersin the selection ofthe study samplewaspurposivesampling.The statistics method that’s used is multiple regression analyze.The result of this research show by simultaneos, there is analyze significant influence between intelectual intelligence, emotional intelligence, and teacher spiritual intelligence variable that’s had teacher with student’s achievement level.Intelectual intelligence,teacher spiritual intelligence variable that’s had teacher influence to student’s achievement level, and emotional intelligence no effect tostudent’s achievement level.

Klasterisasi Sekolah Menggunakan Algoritma K-Means berdasarkan Fasilitas, Pendidik, dan Tenaga Pendidik Nurahman Nurahman; Agung Purwanto; Sigit Mulyanto
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 21 No 2 (2022)
Publisher : LPPM Universitas Bumigora

Fasilitas pendidikan merupakan salah satu indikator untuk tercapainya capaian pembelajaran di sekolah. Keberadaan fasilitas, guru, dan tenaga pendidik sangat dibutuhkan pada lingkungan sekolah. Untuk memudahkan pemerintah setempat dalam penanganan pemerataan kebutuhan sekolah, maka diperlukan pengklasteran atau pengelompokan sekolah. Tujuan dari penelitian ini adalah membantu pihak pemerintah dalam mengklaster sekolah tertentu menjadi beberapa cluster, sehingga memudahkan untuk melakukan pendampingan maupun pengadaan kebutuhan sekolah dilingkungan pemerintah Kabupaten Seruyan. Klasterisasi dilakukan dengan menggunakan algoritma K-Means. Penerapan Algoritma K-Means dengan menentukan nilai Cluster yaitu 3. Hasil penelitian menunjukan bahwa setiap Cluster memiliki jumlah keanggotaannya masing-masing. Pada Cluster0 terdiri dari 178 sekolah, Cluster1 terdiri dari 3 sekolah, dan Cluster2 terdiri dari 43 sekolah. Kemudian hasil pemeringkatan Cluster secara berurutan diperoleh dari Cluster1, Cluster0, dan terakhir adalah Cluster2. Selanjutnya dalam pengujian performance algoritma K-Means dengan membagi menjadi 3 Cluster diperoleh nilai Davies Bouldin Index senilai -0,695. Dari hasil pegolahan dan analisis data terdapat 43 sekolah dalam cluster rendah, sehingga penelitian ini merekomendasikan perlu dilakukan pendampingan dan pengadaan kebutuhan sekolah terhadap sekolah cluster rendah oleh dinas pendidikan pada pemerintah kabupaten Seruyan.

Penyusunan Laporan Keuangan berdasarkan SAK EMKM (Studi Kasus pada UMKM Pangkalan LPG UD. Ahmad Baihaqi di Kuala Pembuang) Noor Sentya Wati; Sigit Mulyanto
Keizai Vol 2, No 2 (2021): September
Publisher : Universitas Darwan Ali

The purpose of this study was to determine the preparation of financial statements based on SAK EMKM at LPG Base UD. Ahmad Baihaqi provides benefits for preparing reports according to accounting standards, such as making it easier for MSME owners to make economic decisions. The descriptive-qualitative research method was used in this study. Sources of data are primary data and secondary data. The results of the research that has been carried out from January 1 to March 31, 2021, are in the form of a statement of financial position showing assets, liabilities, and equity of IDR 71,915,250, an income statement showing a profit of IDR 8,647,000 and notes on the LPG Base financial statements. UD. Ahmad Baihaqi.

Workshop Peningkatan Profit dan Penyusunan Laporan Keuangan Usaha Akuaponik Pada Program Pembinaan Mahasiswa Wirausaha (P2MW) Universitas Darwan Ali Leni Handayani; Sigit Mulyanto; Luvita Anggraini
I-Com: Indonesian Community Journal Vol 3 No 1 (2023): I-Com: Indonesian Community Journal (Maret 2023)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Program Pengembangan Mahasiswa Wirausaha (P2MW) merupakan program pengembangan usaha bagi mahasiswa yang telah memiliki usaha melalui pembiayaan pengembangan dan pembinaan dengan pemberian dukungan usaha untuk pengembangan dan pelatihan (coaching) kepada mahasiswa peserta P2MW. Universitas Darwan Ali merupakan salah satu Perguruan Tinggi yang memiliki kesempatan untuk melaksanakan program ini. Usaha yang dijalankan selama ini masih dilakukan dengan modal pengetahuan dan keterampilan yang dimiliki oleh setiap anggota yang diperoleh dari belajar secara otodidak, karena itu terkadang terjadi kematian ikan yang cukup tinggi karena penanganan yang kurang tepat, adanya sayuran hidroponik yang kerdil dan masih belum adanya pembukuan keuangan yang dibuat secara rapi. Metode kegiatan disampaikan dengan penyampaian materi dan praktikum. Hasil kegiatan PKM ini secara garis besar membawa dampak yang luar biasa bagi para peserta yaitu peserta sudah bisa melakukan penebaran ikan dengan baik dan pengontrolan budidaya lebih teratur serta sudah mampu menyusun laporan keuangan usaha dengan baik. Selain materi yang diberikan kegiatan ini juga dilengkapi dengan praktikum yang disesuaikan dengan kebutuhan dari peserta. Berdasarkan hasil yang ditunjukan oleh peserta selama kegiatan PKM, maka kegiatan Workshop dianggap sangat penting untuk terus dilakukan kepada mahasiswa agar kegiatan wirausaha yang dijalankan menghasilkan profit yang tinggi dan pengetahuan serta keterampilan mahasiswa terus berkembang.

Pengaruh Kualitas Pelayanan Dan Diskon Terhadap Kepuasan Pelanggan Menggunkan Aplikasi Onlineshop Shopee Heriyanto, Heriyanto; Ririn, Ririn; Nurahman, Nurahman; Mulyanto, Sigit
Jurnal Ilmiah Akuntansi Manajemen Vol. 7 No. 1 (2024): April
Publisher : Fakultas Ekonomi, Universitas Muhammadiyah Buton

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35326/jiam.v7i1.5211

Kualitas layanan dan diskon merupakan elemen penting dalam memengaruhi kepuasan pelanggan, keduanya menjadi fokus penelitian ini di antara pengguna platform Shopee di kalangan mahasiswa. Tujuan penelitian adalah mengevaluasi dampak kualitas layanan dan diskon Shopee terhadap kepuasan pelanggan. Data dikumpulkan melalui kuesioner dan teknik sampel stratifikasi proporsional, jumlah sampel 49 responden, dengan analisis dilakukan menggunakan analisis regresi linier berganda dengan perangkat lunak SPSS versi 64 bit. Hasilnya menunjukkan bahwa 70.6% kepuasan pelanggan dipengaruhi oleh kualitas layanan dan diskon. Kualitas layanan memperlihatkan pengaruh positif dan signifikan terhadap kepuasan pelanggan, sedangkan diskon tidak memiliki dampak yang signifikan pada kepuasan pelanggan. Ini menunjukkan pentingnya kualitas layanan yang baik dalam mempertahankan tingkat kepuasan pelanggan di tengah persaingan pasar yang ketat. Dengan demikian, perusahaan perlu memperhatikan dan meningkatkan kualitas layanan yang ditawarkan sebagai strategi untuk mempertahankan dan meningkatkan kepuasan pelanggan, yang pada gilirannya dapat meningkatkan kinerja bisnis mereka secara keseluruhan. Service quality and discounts are crucial elements in influencing customer satisfaction, both of which are the focus of this study among Shopee platform users among students. The research aims to evaluate the impact of Shopee's service quality and discounts on customer satisfaction. Data were collected through questionnaires and proportional stratified sampling techniques, with analysis conducted using multiple linear regression analysis with SPSS software version 64-bit. The results indicate that 70.6% of customer satisfaction is influenced by service quality and discounts. Service quality demonstrates a significant positive influence on customer satisfaction, while discounts do not have a significant impact on customer satisfaction. This underscores the importance of good service quality in maintaining customer satisfaction levels amid fierce market competition. Therefore, companies need to pay attention to and improve the quality of services offered as a strategy to maintain and enhance customer satisfaction, which in turn can improve their overall business performance.

Revitalisasi Kelompok Wanita Nelayan (KWN) "Mandiri" Melalui Optimalisasi Digital Marketing dan Standarisasi Produk Terasi Di Desa Sungai Undang Kabupaten Seruyan Rokhman Permadi; Lili Winarti; Sari Hayati; Sigit Mulyanto
I-Com: Indonesian Community Journal Vol 4 No 3 (2024): I-Com: Indonesian Community Journal (September 2024)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/icom.v4i3.5255

This Community Service Program (PKM) aims to enhance the production capacity, marketing, and business management of the "Mandiri" Fisherwomen Group (KWN) in Sungai Undang Village through the application of digital marketing and the standardization of shrimp paste products. The activities included training on packaging design, online marketing, financial bookkeeping using Android-based applications, and assistance in obtaining business permits such as NIB, PIRT, and Halal certification. As a result, KWN "Mandiri" members demonstrated significant improvements in their business management skills, with higher quality shrimp paste products and broader market reach. The acquired legal permits have opened up access to wider markets, while the entrepreneurial motivation instilled has strengthened the members' drive to develop their business. This program successfully empowered KWN "Mandiri" to compete in more competitive markets, enhancing their welfare and making a positive contribution to the local economy.

Finance Loan Risk Assessment Using Machine Learning for Credit Eligibility Prediction and Model Optimization Mulyanto, Sigit; Yonia, Dwika Lovitasari; Sutejo, Bambang
IJISTECH (International Journal of Information System and Technology) Vol 8, No 5 (2025): The February edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i5.376

Finance loans play a crucial role in the global economy, supporting individuals and businesses in accessing capital for investment and financial stability. However, more than 60% of financial institutions struggle with identifying credit risks due to the limitations of traditional assessment models, which fail to capture complex borrower behavior. Additionally, 75% of financial firms have adopted AI-driven credit risk management, yet challenges remain in model validation and decision-making transparency. This study applies machine learning techniques, including Logistic Regression, Decision Tree, Random Forest, and Support Vector Machine (SVM), to enhance loan eligibility prediction. The dataset underwent preprocessing, including handling missing values, feature engineering, and data standardization. Model evaluation used accuracy, precision, recall, and F1-score. Logistic Regression achieved the highest F1-score at 88.6% and recall at 98.6%, while Random Forest recorded the highest precision at 82.3%. Feature importance analysis identified Credit History as the most influential factor, followed by Loan Amount and Total Income. While machine learning improves loan risk assessment, challenges remain in model interpretability. Future research should integrate explainable AI (XAI) and alternative credit scoring factors to enhance model transparency and robustness in real-world applications

Finance Loan Risk Assessment Using Machine Learning for Credit Eligibility Prediction and Model Optimization Mulyanto, Sigit; Yonia, Dwika Lovitasari; Sutejo, Bambang
IJISTECH (International Journal of Information System and Technology) Vol 8, No 5 (2025): The February edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i5.376

Finance loans play a crucial role in the global economy, supporting individuals and businesses in accessing capital for investment and financial stability. However, more than 60% of financial institutions struggle with identifying credit risks due to the limitations of traditional assessment models, which fail to capture complex borrower behavior. Additionally, 75% of financial firms have adopted AI-driven credit risk management, yet challenges remain in model validation and decision-making transparency. This study applies machine learning techniques, including Logistic Regression, Decision Tree, Random Forest, and Support Vector Machine (SVM), to enhance loan eligibility prediction. The dataset underwent preprocessing, including handling missing values, feature engineering, and data standardization. Model evaluation used accuracy, precision, recall, and F1-score. Logistic Regression achieved the highest F1-score at 88.6% and recall at 98.6%, while Random Forest recorded the highest precision at 82.3%. Feature importance analysis identified Credit History as the most influential factor, followed by Loan Amount and Total Income. While machine learning improves loan risk assessment, challenges remain in model interpretability. Future research should integrate explainable AI (XAI) and alternative credit scoring factors to enhance model transparency and robustness in real-world applications

ANALISIS PENENTUAN SEKTOR-SEKTOR UNGGULAN PRIORITAS KABUPATEN KOTAWARINGIN TIMUR Dwi Ardi Wicaksana Putra; Wehdawati; Sigit Mulyanto
EKONOMIKA45 : Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan Vol. 6 No. 1 (2018): Desember: Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan
Publisher : Fakultas Ekonomi Universitas 45 Surabaya

The determination of priority sectors is very important for accelerating the economic growth in East Kotawaringin Regency. This research is an initial step in providing information on priority sectors which have the potential to be developed through identification and analysis of the development of the base sector; the sectors that have relatively good economic structure and competitiveness as well as the sectors which are classified as the main economic sector groups in each analysis year. The method used is in this research was Loqation Quotient (LQ) analysis, Shift Share analysis and Klassen Typology analysis using data from the East Kotawaringin Regency GRDP and Central Kalimantan Province GRDP at Constant Price (2010) according to the 2011-2016 period. By using these three analyzes, priority sectors are determined by looking at the development experiences or trends that have occurred in 17 economic sectors over the past 5 years. The results of this study indicated that the priority superior sector of East Kotawaringin Regency relies on the sector of Wholesale and Retail Trade; Repair of Motor Vehicles and Motorcycles; Manufacturing; Transportation and Storage; Agriculture, Forestry, and Fishing; as well as Construction

PENGARUH LEVERAGE DAN RASIO LIKUIDITAS TERHADAP NILAI PERUSAHAAN: (Studi Kasus pada Perusahaan Sektor Manufaktur Yang Terdaftar di Bursa Efek Indonesia Tahun 2011 s/d 2016) Ike Riwayati Ningsih; Sigit Mulyanto
EKONOMIKA45 : Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan Vol. 6 No. 1 (2018): Desember: Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan
Publisher : Fakultas Ekonomi Universitas 45 Surabaya

This research was conducted to determine the effect of leverage, liquidity ratio on company value. The sample consisted of 58 companies with purposive sampling method on manufacturing companies in the Indonesia Stock Exchange. The dependent variable in this study was the value of the company measured using the tobin’sQ formula. There are two control variables in this study namely, Company Size and Ylag1. The results of this study, namely leverage (DAR) has a negative and insignificant effect on the value of the company. The liquidity ratio (CR) has a positive and insignificant effect on the value of the company. Taken together leverage and liquidity ratios have a positive effect on firm value. In addition, Ylag1 control variables have a positive and significant effect on firm value, and the size of the company has a positive and insignificant effect on the value of the company

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