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Rikie Kartadie
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JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika)
Published by STKIP PGRI Tulungagung
ISSN : -     EISSN : 25408984     DOI : http://dx.doi.org/10.29100/jipi
Core Subject : Science, Education,
Computer Science & IT Education
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) e-ISSN: 2540 - 8984 was made to accommodate the results of scientific work in the form of research or papers are made in the form of journals, particularly the field of Information Technology. JIPI is a journal that is managed by the Information Technology Program PGRI STKIP Tulungagung. Journal has been indexed by Google Scholar, DOAJ, Academic Keys and others. JIPI has been supervised by RJI (Relawan Jurnal Indonesia).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 900 Documents
 69   70   71   72   73 
RANCANGAN BANGUN SISTEM BULLWHIP EFFECT PADA PT. MITRA ASAHAN SELALU JAYA KECAMATAN SIMPANG EMPAT MENGGUNAKAN SUPPLY CHAIN MANAGEMENT (SCM) Nasution, Irmawati; Anggreani, Dewi; Santoso, Santoso
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.6466

Abstract

In distributing 3kg LPG to the public, PT Mitra Asahan Always Jaya has 51 permanent base partners with various contracts and different quota amounts. Currently subsidized 3kg LPG agents are not permitted to sell subsidized 3kg LPG directly to consumers. With a working area with a very large number of requests from each agent, this is due to the large number of base partners having food trading businesses, not to mention having to meet the demand for household gas, micro businesses and retailers. so that the distribution chain at PT Mitra Asahan Always Jaya, Simpang Empat District, has an erratic demand, the gas distribution system to bases is uneven and not fulfilled due to the gas order management data not being well structured, bases are unable to order gas faster than usual. because the gas quota stock at PT Mitra Asahan Always Jaya, Simpang Empat District, is insufficient, this is due to the lack of management analysis in the gas supply at the base. Many bases have made gas orders, but officers in the field do not communicate to management about the gas requirements actually needed by the base, so that distributors or bases sometimes have to bear losses due to running out of stock
PENINGKATAN KUALITAS OPERASIONAL DIVISI KEUANGAN DAN SUMBER DAYA MANUSIA DI PERUSAHAAN ENERGI MELALUI PERANCANGAN ENTERPRISE ARCHITECTURE Artamevia, Mima; Mukti, Iqbal Yulizar; Ramadani, Luthfi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

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

Abstract

Indonesia kaya akan energi baru terbarukan, khususnya energi surya, sehingga pemanfaatannya perlu dioptimalkan. Salah satu perusahaan yang bergerak di bidang energi baru terbarukan adalah PT XYZ. Kehadiran perusahaan ini tentunya membantu dalam pengelolaan dan pemanfaatan energi surya menjadi listrik. Di dalam perusahaan ini, terdapat Divisi Keuangan dan Sumber Daya Manusia (SDM) yang membantu setiap proses kegiatan operasional. Namun, penggunaan aplikasi untuk mendukung setiap layanan di masing-masing divisi belum merata, sebagian proses sudah didukung oleh aplikasi, sementara sebagian lagi masih dilakukan secara manual. Selain itu, belum ada aplikasi yang terintegrasi satu sama lain. Untuk mengatasi permasalahan tersebut, dilakukan perancangan enterprise architecture pada Divisi Keuangan dan Sumber Daya Manusia. Enterprise architecture (EA) merupakan blueprint atau cetak biru yang berisikan sekumpulan perancangan artefak dari fase bisnis, aplikasi, data, dan teknologi yang menggambarkan kondisi saat ini dan di masa yang akan datang. Proses perancangan EA pada Divisi Keuangan dan Sumber Daya Manusia, dilakukan menggunakan framework TOGAF ADM (The Open Group Arcihtecture Framework) yang dimulai dari fase Preliminary, Architecture Vision, Business Architecture, Information System Architecture, dan Technology Architecture.
ANALYZING TEMPEARTURE ANOMALIES IN MONITORING DATA USING CONVOLUTIONAL NEURAL NETWORK Puteri, Nurhidayah; Astuti, Widi; Ihsan, Aditya Firman
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5616

Abstract

Temperature is a tool that shows the degree or measure of how hot or cold an object is. Incorrect temperature measurement can be fatal and cause various problems. Abnormal temperatures can prevent the temperature detection system from running optimally. Therefore, it is necessary to classify temperatures into normal and anomalous. Machine learning can be used as an alternative for temperature classification. By utilizing machine learning methods, one of which is Convolutional Neural Network. 3688569 temperature data were tested, dividing the results into 80% training data and 20% testing data. Accuracy, Precision, Recall, and F1 Score get a score of 100% and the CNN model graph is very good.
PREDICTION OF TUBERCULOSIS PATIENTS WITH MACHINE LEARNING ALGORITHMS Priyono, Eko
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.5486

Abstract

This research is highly significant because Tuberculosis remains a significant global health issue, and early detection can aid in its more effective management. By employing four different classification algorithms, this study provides a deep understanding of how each algorithm can contribute to Tuberculosis detection. The evaluation of four classification algorithms, namely Logistic Regression (LR), K-Nearest Neighbor (K-NN), Random Forest (RF), and Naive Bayes (NB), in detecting Tuberculosis (TB) was conducted using a dataset comprising various clinical and biological features related to Tuberculosis. The research findings indicate that the Random Forest and K-NN algorithms achieved the highest accuracy of 99.8%, followed by Logistic Regression with 99% accuracy and Naive Bayes. Considering these research findings, the next steps may involve the development of more efficient detection methods based on the combination or enhancement of the evaluated algorithms. Additionally, this research can also serve as a foundation for guiding efforts in early treatment planning for individuals infected with Tuberculosis
DEVELOPMENT OF A MATHEMATICS-BASED MODULE AUGMENTED REALITY (AR) ON SPACE BUILDING MATERIAL IN CLASS V PRIMARY SCHOOL Elkafiyani, Salsabilla Briliana; Alyani, Fitri
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5983

Abstract

This research aims to develop a mathematics module on geometric mate-rial that is suitable for use as a teaching medium for mathematics subjects in class V of elementary schools and is useful as an additional reference for teachers in teaching and learning activities. The research method used is the research and development method (Research and Development). Researchers use the RnD (Research and Development) research method using the ADDIE development model in their activities and use question-naires to collect data related to practicality and tests to measure learning outcomes after reading the module. The data analysis carried out in this research was a data analysis technique using a descriptive scale. The re-search results show that the mathematics module is based on space aug-mented reality developed is feasible and practical for use in mathematics learning. The results of the validation carried out by material experts, in this study, got a score interval of "very valid", then the results of the val-idation carried out by media experts in this study got a score interval of "very valid" and the results of the validation carried out by education ex-perts in this study got “very valid” score interval.
SENTIMEN ANALISIS EVALUASI PENGGUNA APLIKASI ORBIT TELKOMSEL PADA ULASAN PLAYSTORE MENGGUNAKAN ALGORITMA NAÏVE BAYES Lestari, Vika Febri; Arsi, Primandani; Subarkah, Pungkas
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.5538

Abstract

Dalam era digital, aplikasi mobile, khususnya aplikasi internet rumah, memainkan peran penting dalam mendukung aktivitas harian pengguna. Studi ini bertujuan untuk melakukan analisis sentimen terhadap aplikasi Telkomsel Orbit, layanan internet rumah serba digital yang menyediakan koneksi melalui modem WiFi dengan jaringan 4G LTE. Metodologi penelitian melibatkan proses scraping data, preprocessing teks, dan penerapan algoritma klasifikasi Naïve Bayes untuk menganalisis ulasan dan peringkat yang diberikan pengguna di Play Store. Telkomsel Orbit menawarkan fitur unggulan seperti pengaturan Wi-Fi melalui aplikasi MyOrbit, WiFi tamu, dan penyesuaian filter website. Hasil penelitian menunjukkan bahwa penerapan metode Naïve Bayes menghasilkan tingkat ketepatan mencapai 79%, dengan presisi sebesar 80% dan recall 79%.Temuan ini menunjukkan bahwa mayoritas ulasan yang diberikan oleh pengguna cenderung positif terhadap aplikasi Telkomsel Orbit. Hal ini mengindikasikan bahwa layanan tersebut dinilai secara positif oleh pengguna, dengan fitur-fiturnya yang dianggap bermanfaat dan kualitas layanannya yang memuaskan. Penelitian ini memberikan wawasan yang berharga bagi Telkomsel Orbit untuk memahami umpan balik pengguna dan terus meningkatkan pengalaman pengguna mereka. 
IMPLEMENTASI METODE DESIGN THINKING DALAM PERANCANGAN UI/UX BERBASIS MOBILE PADA WEBSITE SPEGALAN APIK Irfiana, Safira; Soelistijadi, R.; Anwar, Sariyun Naja
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5799

Abstract

Pemanfaatan teknologi telah meluas ke berbagai sektor, termasuk sektor Pendidikan. Terlihat jelas dalam dunia Pendidikan, dimana sekolah - sekolah semakin menyadari pentingnya memanfaatkan teknologi untuk memperbaiki efisiensi dan mutu pelayanan kepada siswa, guru, dan pihak terkait lainnya. SPEGALAN APIK merupakan wujud pemanfaatan teknologi oleh SMP Negeri 39 Semarang sebagai sarana berbasis digital bagi siswa dan masyarakat dalam menyampaikan kritik dan saran.  Namun, untuk mencapai tingkat kepuasan pengguna yang optimal, diperlukan perhatian khusus terhadap efektifitas website tersebut terutama saat diakses melalui perangkat mobile. Design Thinking merupakan pendekatan yang fokus pada pengguna untuk menyelesaikan  masalah dan menghasilkan solusi inovatif. Pada tahap emphatize, penulis melakukan observasi langsung dengan beberapa pengguna. Tahap define, penulis mencoba menemukan inti permasalahan yang dialami pengguna dan mendefinisikan permasalahan tersebut menjadi sebuah pertanyaan. Tahap ideate, penulis membuat ideal solution dan memprioritaskan solusi – solusi tersebut berdasarkan value dan effort yang dipelukan.  Tahap prototype, penulis mengimplementasikan solusi – solusi yang sudah di prioritaskan menjadi sebuah desain. Tahap test, penulis menggunakan Maze sebagai alat pengujian yang akan dilakukan oleh pengguna guna mengetahui hasil dari solusi yang sudah diterapkan mampu menyelesaikan masalah dan memenuhi kebutuhan pengguna. Hasil dari pengujian usability testing memperoleh nilai keseluruhan 98 dari 100 dengan kesimpulan bahwa desain yang diuji coba telah berhasil dan sangat baik  sesuai dengan kebutuhan pengguna.
KLASIFIKASI SOAL MENGGUNAKAN MULTI-LABEL PROBLEM TRANSFORMATION DENGAN METODE RANDOM FOREST DAN K-NEAREST NEIGHBOR Kurniawan, Muhammad Rayhan; Pratiwi, Oktariani Nurul; Hamami, Faqih
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5910

Abstract

Pendidikan merupakan komponen utama dalam membangun sumber daya manusia yang berkualitas. Ujian merupakan bagian dari proses evaluasi pendidikan untuk mengukur kemampuan siswa dalam memahami materi yang dipelajari. Proses ujian secara online memerlukan fasilitas mengenai pengelolaan soal, sehingga diperlukan klasifikasi untuk mengelompokkan soal sesuai dengan topiknya. Klasifikasi multi-label adalah proses pengelompokan data ke dalam beberapa kelas berdasarkan kesamaan ciri atau karakteristik data, di mana setiap soal dapat memiliki lebih dari satu topik. Penelitian ini berfokus pada pengklasifikasian soal mata pelajaran Bahasa Indonesia tingkat SMP dengan menggunakan metode Problem Transformation dan algoritma Random Forest serta K-Nearest Neighbor (K-NN). Metode Problem Transformation yang digunakan yaitu Binary Relevance, Classifier Chain, dan Label Powerset. Metrik evaluasi untuk menentukan kinerja terbaik yaitu berdasarkan F1-Score dengan K-Fold Cross Validation. Hasil penelitian menunjukkan bahwa algoritma Random Forest memberikan kinerja terbaik dibandingkan K-NN dengan nilai F1-Score terbaik di semua metode Problem Transformation. Nilai F1-Score terbaik dengan metode Label Powerset pada algoritma Random Forest sebesar 69%, dan K-NN sebesar 44%. Berdasarkan hasil tersebut, algoritma Random Forest dengan Label Powerset lebih efektif dalam mengklasifikasikan soal multi-label. Diharapkan penelitian ini dapat memberikan kontribusi dalam meningkatkan efisiensi pengelolaan soal ujian pada sistem pembelajaran online seperti Learning Management System (LMS).
ANALYSIS OF THE QUALITY OF THE INFINITE LEARNING TRAINING COURSE WEBSITE AT INFINITE LEARNING USING THE WEBQUAL 4.0 METHOD AND IMPORTANCE PERFORMANCE ANALYSIS (IPA) Avicena, Ginanjar Ilmi Nur; Makky, Muhammad Al; Oktaviani, Ikke Dian
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.6067

Abstract

The training course sector in Indonesia has experienced rapid development in recent years. Many institutions offer various training courses to enhance skills and knowledge across different fields, from information technology to human resource management, with one such institution being Infinite Learning. The objective of this research is to assess the quality of the website and identify the factors that can improve its quality. Utilizing the Webqual 4.0 method as an evaluation indicator and Importance Performance Analysis to categorize the factors into quadrants based on the analysis of Importance Performance Analysis. Before data grouping, validity tests, reliability tests, and gap analysis between user expectations and perceptions need to be conducted. This step aims to strengthen the conclusions and recommendations produced after the research is completed. After conducting the research, the final results show that the Infinite Learning training course website has not met user expectations. This is evident from the gap analysis, which resulted in a score of -0.63, indicating that user expectations or importance are higher than the performance of the Infinite Learning training course website. The results of this research show that all performance values of each attribute are greater than the Importance values, indicating that users are satisfied with the services of the Infinite Learning training course website, with the highest value in the dimension of interaction quality at 0.93.
CRICKET PRODUCTION FORECASTING USING THE MOVING AVERAGE METHOD Suseno, Pangki; Junianto, Dwi; Sukmana, Farid; Pamungkas, Bian Dwi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.7066

Abstract

Cricket production in Indonesia has promising business potential, particularly in rural areas. However, production variability is often a major challenge for farmers to maintain economic stability. Therefore, production forecasting methods are needed for better management. This study aims to predict cricket production using Moving Average (MA) and Weighted Moving Average (WMA) methods and compare their accuracy. The research was conducted in Rejotangan District, Tulungagung, using 12 weeks of cricket production data from May to August 2024. The accuracy of the method was measured using Mean Absolute Deviation (MAD), Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE). From this research, the best model that can be used to predict the amount of cricket production is the Weighted Moving Average (WMA) model with n = 4 with the lowest prediction accuracy value (MAD, MSE and MAPE) of 16.05, 514.513 and 10.985% respectively. From the forecasting results, the total production of crickets in the existing farm for one period ahead with the WMA model n = 4 is 150.9 kg.

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