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Handoko Handoko
STAI Ma’had Aly Al-Hikam Malang
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A Analisis Item Instrumen Kesadaran Diri, Motivasi, dan Perencanaan Karir Pendidik Menggunakan Aplikasi SPSS Handoko, Handoko
Didaktis: Jurnal Pendidikan dan Ilmu Pengetahuan Vol 24 No 3 (2024): Didaktis
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/didaktis.v24i3.24055

Abstract

The study aims to analyze instruments related to self-confidence, motivation, and career planning in education. A well-designed instrument must be free from bias to prevent misinterpretation during use. Errors in instrument design can lead to invalid results. Therefore, instrument validation is necessary to ensure optimal outcomes. The research was conducted on students majoring in educational sciences within the faculty of teacher training and education. A total of 100 respondents from various study programs participated in the pilot test. The instrument consists of 90 items divided across three variables with seven indicators. The validity and reliability of the instruments will be evaluated, and those that do not meet the criteria will be excluded to maintain the quality of the research.
Implementasi K-Nearest Neighbours Dengan Google Collab Untuk Klasifikasi Penyakit Kanker Payudara Rihastuti, Siti; Rosyidi, Afnan; Handoko, Handoko
JURNAL TEKNOLOGI INFORMASI Vol 10, No 2 (2024): Jurnal Teknologi Informasi
Publisher : Universitas Respati Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52643/jti.v10i2.5223

Abstract

Penelitian ini bertujuan untuik mengklasifikasi penyakit kanker payudara berdasarkan dataset pasien penderita penyakit kanker payudara menggunakan model K-Nearest Neigbors dan pengujian menggunakan Google Colab. Kanker payudara adalah salah satu jenis kanker yang paling umum di kalangan wanita dan deteksi dini sangat penting untuk meningkatkan peluang kesembuhan bagi penderitanya. Sebanyak 569 record dataset penyakit kanker payudara digunakan yang diambil dari situs kaggle. Terdapat 32 variabel yang ada didalam kriteria dataset yang akan diuji. Model KNN diterapkan dengan menentukan nilai K = 1 hingga 20. Dari hasil pengujian menggunakan KNN dan Google Colab terhadap dataset diperoleh nilai akurasi tertinggi sebesar 96.49% dengan nilai K=9. Akurasi cenderung stabil dan memiliki selisih yang sedikit mulai dari K=3 hingga K =20. Nilai presisi tertinggi terdapat pada angka 97,18% dengan beberapa nilai K=4, 6, 8, 9, dan K=10. Nilai recall dan F1-score tertinggi sebesar 97.18% pada K=9. Perolehan nilai akurasi, presisi, recall dan F1-score yang tinggi dan cukup stabil mampu mendeteksi kasus kanker payudara dengan tingkat akurasi yang baik. Nilai F1-score yang tinggi menunjukkan bahwa model KNN memiliki keseimbangan yang baik antara precision (ketepatan dalam memprediksi secara akurat) dan recall (sensitivitas dalam mengukur kinerja model dalam memprediksi kasus kanker payudara ganas yang sebenarnya). Berdasarkan hasil pengujian menunjukkan bahwa model K-Nearest Neigbors memiliki kinerja yang cukup baik dalam memprediksi kanker payudara.
PERANCANGAN APLIKASI ARTIFICIAL INTELLIGENCE DALAM BISNIS USAHA LAYANAN SPESIALIS GURAH MESIN MOBIL Hariadi, Eko; Rosyidi, Afnan; Handoko, Handoko
PRIMER : Jurnal Ilmiah Multidisiplin Vol. 1 No. 4 (2023): PRIMER : Jurnal Ilmiah Multidisiplin, Agustus 2023
Publisher : LPPM Institut Teknologi Dan Kesehatan Aspirasi

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Abstract

Layanan Spesialis Gurah Mesin Mobil adalah sebuah layanan jasa usaha membersihkan kotoran kerak dalam lubang piston tanpa membongkar mesin dengan cairan carbon cleaner. Banyak pengguna kendaraan motor dan mobil yang sering mengeluhkan performa kendaraannya semakin turun seperti tenaga yang tidak maksimal, tarikan turun, tarikan pada gas semakin berat sehingga membuat getaran pada mesin menjadi kasar. Untuk dapat menjangkau lebih banyak pelanggan serta memperluas memerlukan informasi melalui website sebagai sarana informasi pemasaran sekaligus promosi, maka diperlukan selain aplikasi whatsapp juga ditambahkan chatbot yang bisa menjawab pertanyaan secara cepat dengan system Artificial Intelegence. Chatbot artinya didefinisikan sebagai sebuah program komputer berbasis AI (Artificial Intelligence), alias robot virtual yang dapat mensimulasikan percakapan layaknya manusia. Teknologi ini juga dikenal sebagai asisten digital yang dapat memahami serta memproses permintaan pengguna, dan memberikan jawaban yang relevan dengan cepat. Itulah mengapa istilah ini dikenal dengan sebutan “bot”. Gurah Mesin Mobil menyadari bahwa peranan media. Website dapat meningkatkan omset penjualan jasa atau layanan home service yang mereka miliki untuk menjangkau pasar yang lebih luas lagi serta dapat meminimalkan biaya-biaya operasional iklan dan biaya secara fisik. Metode yang digunakan dalam pembuatan aplikasi Chatbot berbasis web ini adalah siklus hidup pengembangan sistem atau yang biasa disebut System Development Life Cycle (SDLC). SDLC mempunyai beberapa tahapan yaitu perencanaan, analisis, perancangan, implementasi, uji coba, dan pemeliharaan. Aplikasi ini memberikan informasi baik terhadap pelanggan maupun masyarakat umum dalam memperoleh informasi yang jelas langsung dari chatbot sehingga mampu memberikan jawaban yang sesuai dengan kebutuhan konsumen. Dengan uji coba beberapa pertanyaan yang diberikan maka chatbot mampu menjawabnya sesuai dengan perintah yang dimasukkan. Bila ada yang kurang sesuai jawabannya maka masih diperlukan pelatihan pertanyaan dan jawaban yang tepat.
The impact of reward systems for lecturers, communication culture, intrinsic motivation, and transformational leadership on institutional effectiveness in Islamic higher education Handoko, Handoko; Mesiono, Mesiono; Ananda, Rusydi
JPPI (Jurnal Penelitian Pendidikan Indonesia) Vol 10, No 4 (2024): JPPI (Jurnal Penelitian Pendidikan Indonesia)
Publisher : Indonesian Institute for Counseling, Education and Theraphy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/020244340

Abstract

This study aims to analyze the influence of reward systems, communication culture, and intrinsic motivation on the institutional effectiveness of Islamic higher education institutions in Binjai City, emphasizing the mediating role of transformational leadership. The research is motivated by the importance of professional and high-quality educational management in addressing globalization challenges and meeting societal demands for higher education. Data were collected from 83 respondents, comprising lecturers at Institut Syekh Abdul Halim Hasan Binjai and Sekolah Tinggi Ilmu Tarbiyah Al-Washliyah, using a closed questionnaire. The analysis was conducted through simple correlation, multiple correlation, and path model testing.The findings reveal that reward systems, communication culture, and intrinsic motivation positively and significantly influence transformational leadership, contributing 2.9%, 2.3%, and 1.8%, respectively. Intrinsic motivation also directly impacts institutional effectiveness by 7%. However, other factors, such as organizational context and work culture, also play significant roles in determining overall institutional effectiveness. The practical implications of this study suggest the need for policies that support strengthening reward systems, fostering effective communication culture, and enhancing lecturers' intrinsic motivation to improve the institutional effectiveness of Islamic higher education. These findings provide insights for the management of Islamic higher education institutions in designing more effective institutional strategies.
MEDIA PEMBELAJARAN SISTEM MANAJEMEN KESELAMATAN DAN KESEHATAN KERJA BERBASIS COMPUTER BASE TRAINING Riyanta, Wawan; Wiarco, Yuwono; Handoko, Handoko
Jurnal Riset dan Inovasi Pembelajaran Vol. 2 No. 2 (2022): May-August 2022
Publisher : Education and Talent Development Center Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/jrip.v2i2.602

Abstract

Computer Based Training is a teaching material that can support distance lectures that demand more interesting, attractive and efficient media. The making of CBT learning media is carried out using the research and development (R&D) method, making and testing or verifying applications and testing the aplication effectiveness. The development and manufacture of CBT media products uses the Adobe Animate CC platform and then a feasibility test is carried out using a validation questionnaire using a Likert scale that will be carried out by the validator. Trial of learning media Products to 54 respondents and processing the results of the assessment from users obtained very good results with a value of 3.96 and a percentage of 79.3% with details of the assessment of each sub-element of the software engineering aspect of 92%, the learning design aspect by 86% and visual communication aspects by 48%. The visual communication zspect has the lowest assessment result from the other two aspects with 3 (three) visual communication sub aspects that fall into the inappropriate category, namely audio, moving media and interactive layout. The results of this research become an interactive teaching platform for PPI lecturers in 2022.
The Power of Visual Communication: Analyzing Visual Multimodal Cybertext Contexts in Indonesian Cyber Pragmatics Rahardi, R. Kunjana; Rahmat, Wahyudi; Setyaningsih, Yuliana; Handoko, Handoko
Jurnal Arbitrer Vol. 12 No. 1 (2025)
Publisher : Masyarakat Linguistik Indonesia Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ar.12.1.54-68.2025

Abstract

The rapid advancement of technology has significantly influenced the field of linguistics, particularly pragmatics, by expanding its scope from traditional intra-linguistic factors to encompass extralinguistic contexts such as social, cultural, situational, and cyber dimensions. This shift has ushered in functionalistic and post-functionalistic approaches in Indonesia, broadening the field to include semantic, cultural, cognitive, and cyber pragmatics. This study investigates how visual multimodal cybertext contexts in Indonesian digital media affect the interpretation of speech intent. This research draws on five selected visual, multimodal text excerpts from social media collected through free-flowing listening and note-taking, and it employs distributional and extralinguistic analysis methods. The findings reveal three primary roles of visual elements in cybertext: (1) typographic visuals that clarify background context for intended meaning, (2) visual icons that aid in contextual explanation, and (3) illustrative visuals that enhance understanding of the communicated message. These visual components are essential in facilitating accurate interpretation and engagement with speech acts in digital spaces. Addressing the gaps in understanding these elements can enhance communication strategies in Indonesian digital media, supporting clearer interaction and comprehension in a multicultural digital environment. This research contributes to the evolving field of cyber pragmatics by demonstrating the need for effective multimodal approaches to digital communication, especially in diverse sociocultural settings.
PENGARUH BIAYA PRODUKSI DAN HARGA JUAL JAGUNG TERHADAP TINGKAT PENDAPATAN PENJUALAN JAGUNG DI DESA TRI RAHAYU handoko, handoko; Vonny Tiara Narundana
EKONOMIKA45 :  Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan Vol. 10 No. 2 (2023): Juni : Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan
Publisher : Fakultas Ekonomi Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/ekonomika45.v10i2.718

Abstract

This research examines the impact of selling prices and production costs on the income of corn farmers in Tri Rahayu village. Primary data for research is information that has been collected both from other people and individuals, such as the results of surveys and observations. Purposive sampling is a sampling method used to collect a sample of 628 respondents; but when the Slovin formula was applied, the results of the sampling methodology yielded only 86 respondents. Multiple linear regression analysis is a method of data analysis performed through SPSS (Statistical Package For Social Science) software. Based on research findings, production costs have a negative impact on the income of corn farmers in Tri Rahayu Village who sell their crops.
MANAJEMEN KEPALA MADRASAH DALAM PENINGKATAN MUTU PENDIDIKAN Tanjung, Zulkifli; Abdurrahim, Abdurrahim; Handoko, Handoko
Bunayya: Jurnal Pendidikan Guru Madrasah Ibtidaiyah Vol 2 No 3 (2021): September (2021)
Publisher : Prodi PGMI STIT Al-Ittihadiyah Labuhanbatu Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.86 KB)

Abstract

The management and leadership of the principal is an important factor that determines the improvement of the quality of education in every school. All program design and implementation, as well as mobilizing people to work both educators and education staff within the framework of quality improvement. Improving services that provide satisfaction to students, teachers and employees must be the focus of the principal. So that the interaction between internal and external components is expected to give birth to performance and achievements that have an impact on graduates as school outputs that provide customer satisfaction. This paper aims to explain how important the role of the principal and the improvement of the quality of education in every school is.
Yield gap analysis between irrigated and rainfed rice agroecosystem Handoko, Handoko; Kurniasih, Budiastuti; Taryono, Taryono
Jurnal Ilmu Pertanian Vol 10, No 1 (2025): April
Publisher : Faculty of Agriculture, Universitas Gadjah Mada jointly with PISPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ipas.97040

Abstract

Rice is an essential crop for worldwide food security, providing the primary feeding for nearly half of the people on earth. In order to meet the increasing demand for rice, it is necessary to reduce the yield gap between irrigated and rainfed rice agroecosystem; therefore, a descriptive approach is used to estimate the yield gap (Yg) between irrigated (Yp) and rainfed rice agroecosystems (Yw) and identify its key factors. This research aimed to identify the causes of the yield gap between irrigated and rainfed rice agroecosystems and evaluate the causes of the yield gap so as to minimize the yield gap. This research had been conducted from December 2021 to April 2022 in two different locations, an irrigated and a rainfed rice agroecosystem (planted between M. cajuputi stands). Fourteen genotypes were grown in a complete randomized block design consisting of three blocks in each location (irrigated and rainfed rice fields). The experimental unit at each research location was 20 m² (4 m × 5 m), and the harvest area was 12 m² (3 m × 4 m), consisting of 192 populations of rice plants. The results showed that soil fertility limiting factors, including total nitrogen, phosphorus and available potassium caused the yield gap. The maximum yield recorded was in G2 (8.83 ton.ha⁻¹) in the irrigated agroecosystem, while the minimum yield was in G8 (0.64 ton.ha⁻¹) in the rainfed agroecosystem. Yield gap analysis revealed a gap of 5.27 ton.ha⁻¹ between the irrigated and rainfed systems. The most significant yield gap was observed in G3 at (6.92 ton.ha⁻¹), whereas the least was in G10 (3.17 ton.ha⁻¹). The genotype G2, exhibiting the highest yield in the irrigated agroecosystem, is recommended for planting, while G4, with a potential yield of 4.14 ton.ha⁻¹, is suggested for rainfed agroecosystems.
Yield gap analysis between irrigated and rainfed rice agroecosystem Handoko, Handoko; Kurniasih, Budiastuti; Taryono, Taryono
Jurnal Ilmu Pertanian Vol 10, No 1 (2025): April
Publisher : Faculty of Agriculture, Universitas Gadjah Mada jointly with PISPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ipas.97040

Abstract

Rice is an essential crop for worldwide food security, providing the primary feeding for nearly half of the people on earth. In order to meet the increasing demand for rice, it is necessary to reduce the yield gap between irrigated and rainfed rice agroecosystem; therefore, a descriptive approach is used to estimate the yield gap (Yg) between irrigated (Yp) and rainfed rice agroecosystems (Yw) and identify its key factors. This research aimed to identify the causes of the yield gap between irrigated and rainfed rice agroecosystems and evaluate the causes of the yield gap so as to minimize the yield gap. This research had been conducted from December 2021 to April 2022 in two different locations, an irrigated and a rainfed rice agroecosystem (planted between M. cajuputi stands). Fourteen genotypes were grown in a complete randomized block design consisting of three blocks in each location (irrigated and rainfed rice fields). The experimental unit at each research location was 20 m² (4 m × 5 m), and the harvest area was 12 m² (3 m × 4 m), consisting of 192 populations of rice plants. The results showed that soil fertility limiting factors, including total nitrogen, phosphorus and available potassium caused the yield gap. The maximum yield recorded was in G2 (8.83 ton.ha⁻¹) in the irrigated agroecosystem, while the minimum yield was in G8 (0.64 ton.ha⁻¹) in the rainfed agroecosystem. Yield gap analysis revealed a gap of 5.27 ton.ha⁻¹ between the irrigated and rainfed systems. The most significant yield gap was observed in G3 at (6.92 ton.ha⁻¹), whereas the least was in G10 (3.17 ton.ha⁻¹). The genotype G2, exhibiting the highest yield in the irrigated agroecosystem, is recommended for planting, while G4, with a potential yield of 4.14 ton.ha⁻¹, is suggested for rainfed agroecosystems.
Co-Authors A. B. Tjandrarini Abdul Kadir Ritonga Ade Aransyah Adiredjo, Afifuddin Latif Afiyanti, Mufidah Afnan Rosyidi Ag. Bambang Setiyadi Ainur Rosidah Akso, Maimun Al Ihsan, Rozaan Faros Alfian Alfian Alfian Yuda Prasetiyo Alif Luthvi Azizah Amaluddin, Zainal Amanda, Arizka Amanda, M. F. Aminudin Afandhi Amirdabbaghian, Amin Ananda, Rusydi Andarin, Marsasanda Andri Antomi Apriantoni, Riyan Aprilianin, Vike Aprillia, Imelda Arie Munandar Armyta Puspitasari Asmak, Asmak Asman Asman Asrofiq, Ahmad Astuti, Septiana Widi Atik Rusdiani Atik Siti Kuswati Baroro, Ismatul Bay, Johanis Aryo P. B. Bhisma Murti BOBBY RAHMAN, BOBBY Budi Basuki Budihardja Murtianta Bujang Rahman Churniawan, Erifendi Churniawan, Erifendy Damayanti, Ajeng Tyas Darmawan Utomo darmawan, endras setiyo Dhamayanti, Dhamayanti Dharmawan, I Gusti Agung Dina Maulina Edi Sumarno Een Y. Haenilah Een Yayah Haenilah EKO HARIADI Eko Setiawan Elly Elly Endras Setyo Darmawan Farha, Syahla Athiya Fatkhur Rohman Fitria Kasih Gianto, Shafa Cesania Ginting, Junita Setiana Godwin Godwin Gunada, I Wayan Agus Gusti Ngurah Ketut Putera Hagus Tarno Hasan Hariri Hasan Hariri, Hasan Hariri Hasan, Aiza Nirmala Hawariy, Salik Herpratiwi Herpratiw Hondo, Nico Fernando Husnul Marpaung, Ira Imron, Nanda Ahda Indrayani, Sari Innda, Shelvy Setia Irawan, Wahyudi Saputra Isafitri, Shania Bernika Dian Izzatika, Amrina Jaidi, M Nur Jarudin Jarudin Jaya, Thoha BS. Joosten Joosten Julianto Lemantara Junadhi, Junadhi Kaur, Sheena Khairani, Fadilah khusnul khotimah Kotambunan, Charity Kris Budiono Krisdiani, Liza Kurniasih, Budiastuti Kurniawan, Safrudin Kurniawan, Wingky Kuswati, Atik R.R Siti Leliana, Arinda Liawatimena, S. Lishanata, Mida Lukman Hakim Mabsus, Parosil Mafaza, Vika Nur Malaiholo, David Maman Surahman Manuain, Donald Arinanda Marcelina, Dona Maulana Irfan, Maulana Mesiono, Mesiono Muh. Yusuf muhammad alfi syahrin Muhtasor, Muhtasor Murdiaty Murdiaty, Murdiaty Mutmainah, Winda Nanda Ahda Imron Negara, Ari Sukma Nina Karina Ningtyas, Ika Wulandari Utami Noper Tulak Novriyanti, Ella Oktaviastuti, Blima Paulus, Ardianus Prajogi, Gregorius Ben Pratama, Wisnu Bayu Priyanto, Sapto Putri, Hana Salsabila R Kunjana Rahardi Rabiyatul Adawiyah Siregar Rachman, Natriya Faisal Rafeah Abubakar Rahardjo, Setyo Sri Rian, Yuriansyah Rifain, Syakirah Rifa’in@Mohd Rini Hidayati Risma Margaretha Sinaga Riswandi Riswandi Riswanti Rini Riyanta, Wawan Rosalina nathalia Revassy Rozaq, Fadli Salim, Rin Rin Meilani Sana, I Nyoman Lingga Sani, Aisyah Mutiara Sari, Rose Novita Sari, Siti Rahma Sekarutami, Sri Mutya Septin Puji Astuti Setyawan Bekti Wibowo sholihat, khodijah amatulloh Silvi Ikawati, Silvi Siti Rihastuti Soehartati Gondhowiardjo Sowiyah Sowiyah Sri Yulina Wulandari Su Kia, Lau Sucitra, Diah Ayu Suparno Suparno Supriyadhi, Supriyadhi Tanjung, Zulkifli Taryono, Taryono Tauhid, Booni Theresia Wuri Oktaviani Tiara Bunga Mayang Permata Tri Suyono Turnip, Raelida U. Hernawan Uniplaita, Tiper K. M. Upik Kesumawati Hadi Vito Filbert Jayalie, Vito Filbert Vonny Tiara Narundana Waahsturi, Waahsturi Wahyudi Rahmat Widada Widada, Widada Wirawan, Willy Artha Yogo Setiawan Yohana, Nelvi Yuliana Setyaningsih Yuwono Wiarco Zulkarnaen, Akbar