Garuda - Garba Rujukan Digital

Design and Build Customer Complain Applications for Mobile Based MVVM Architecture Method Alexius Hendra Gunawan; Andri Wijaya; Dellih Wijaya
Tech-E Vol 3 No 2 (2020): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Abstract PT. DhanaJaya BogaIndo has more than twenty restaurants spread across Jakarta, Surabaya and Australia. At present complaints regarding services and food served are still being done by providing limited criticism and suggestions during operational hours, so employees in the service section always record complaints and suggestions from customers who come to restaurants are accommodated, then convey related to food, service and the environment dirty one. related to customer complaints. Information on customer complaints can be received directly by management, so actions can be taken quickly.

Analisis dan Perancangan Ujian Terkomputerisasi Menggunakan Metode Linear Congruential Generator Untuk Pengacakan Soal (Studi Kasus: Sekolah Menengah Kejuruan Agathos) Fernaldi Makmur; Benny Daniawan; Andri Wijaya
bit-Tech Vol. 1 No. 3 (2019): Learning Synchronous and Asynchronous in the Industry 4.0
Publisher : Komunitas Dosen Indonesia

In this modern era, education begin to use more advanced technology in order to ease their activities such as semester exams. By taking advantage of computer technology in education will make semester exams become simpler during the process of the exam and scoring, as in shuffling the order of the question and scoring become faster and more accurate. Currently, Agathos Vocational High School still use manual exam system, and the process cost is high. They have to print out the test and answer paper, undisciplined students can cheating during exam, mistakes during marking the test, and unorganized archives when filing the student’s results. After finding out the current system in Agathos Vocational High School, To solving their current problems is develop a system that will organize the information electronically in filling the student’s grades and making a random order of questions, using Linear Congruential Generator (LCG) method. This computerized system will help the teachers to making the questions with inputting process, and will be done in three days, marking the answers and filling the grade are automatically done by system, then print it out to be Student’s Report. With using LCG method, can motivating the students to study as the order of the question is randomized by Student’s ID Number, the students will not be able to continue filling their answers after the time is up and this will reducing the possibility of cheating. The time needed to prepare exam questions was reduced from 8 days to 1 day. The system test results is 64% can be accepted by the user.

The Analysis and Design Marketplace Information Systems Web-Based of Electronic Repair Service Providers with Haversine Method Darmayana Putra; Benny Daniawan; Suwitno Suwitno; Andri Wijaya
bit-Tech Vol. 2 No. 1 (2019): Data Mining and Green Technology
Publisher : Komunitas Dosen Indonesia

This system is designed to help customers find electronic service centers were spread in Tangerang. The distribution of electronic service center makes it difficult for users to determine the right electronic service center. Sometimes customers don’t know the results of repairs from the electronic service center. Search for electronic service center on the system is using the Haversine method. Haversine is used to calculate the distance between the position of the customer and the position of the electronic service centers. In addition to Haversine, the search for electronic service center will be adjusted to the type of goods you want to repair and rating from the results of the performance electronic service center. In this system, the customer can choose the damage diagnosis available and the customer can also make a special order by describing the customer's damage. This system was tested using Black Box Testing with Boundary Value Analysis technique, based on the results of testing the system can use data with a success percentage of 96.66%. The system is tested with User Acceptance Testing to find out how much the level of user acceptance of the system designed, and the result is 75% of users agree with the system.

The Acceptance Study of e-commerce Customers Based on TAM Rainaldo Diogenes Susilo; Benny Daniawan; Andri Wijaya; Suwitno Suwitno
bit-Tech Vol. 3 No. 3 (2021): Remote Delivery
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v3i3.165

The improvement of information technology and science has grown rapidly. CV. Sukses Mandiri Jaya, which is engaged in the sale of spare parts for motorcycle, does not have a computerize system, making it difficult for buyers to see the products and to make transactions. The work aim to create a web based system with the Technology Acceptance Model (TAM) to measure the usability level of the system. TAM is used to achieve a certain goal by identifying some of the basic variables and by measuring factors that affect system acceptance. TAM positions two beliefs, that are Perceived Usefulness and Perceived Ease of Use as major factors in system acceptance behavior. It was found that the proposed system accepted by customers, which was measured by a questionnaire involving 57 respondents. The results show that Perceived Usefulness and Perceived Ease of Use simultaneously and partially have positive and significant influence on the Behavior Intention. This also shows that result of the relative contribution of perceived usefulness (X1) is 36.75% and the perceived ease of use (X2) is 63.25%. The effective contribution of Perceived Usefulness is 29.44% and the Perceived Ease of Use is 50.66% for Behavior Intention, which means that the effect of Perceived Ease of Use is more dominant than the Perceived Usefulness

E-Commerce Coffepedia with Technology Acceptance Model (TAM) Testing Alwin Laulio; Benny Daniawan; Suwitno Suwitno; Andri Wijaya
bit-Tech Vol. 5 No. 2 (2022): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v5i2.593

Coffee is one of the plantation commodities that has an important role in economic activities in Indonesia. Coffee is also one of Indonesia's export commodities which is quite important as a foreign exchange earner in addition to oil and gas. As a producer, Indonesia occupies the fourth position while as a consumer Indonesia is in seventh place, and coffee connoisseurs in Indonesia are growing rapidly at 8% for the development of coffee connoisseurs in Indonesia while the development of coffee connoisseurs in the world is only 6%. With the increase in coffee drinkers in Indonesia, the level of sales of coffee powder will also increase. In this study, the system was designed to facilitate the sale of coffee powder using prototyping methodology and the Technology Acceptance Model (TAM) for testing method. The purchasing system can make it easier and provide convenience for buyers and sellers in Indonesia. Based on the TAM test that has been carried out on 79 respondents, it shows the results that Attention to Use (ATU) affects Behavioral Intention to Use (BITU) by 4.427, Behavioral Intention to Use (BITU) affects Actual System Usage (ASU) 16.511, Perceived Ease of Use (PEOU) affects Attention to Use (ATU) by 3.130, Perceived Usefulness (PU) affects Attention to Use (ATU) by 6.712, and PU affects BITU by 4.692.

Decision Support System Scholarship Using Profile Matching Ardiane Rossi Kurniawan Maranto; Suwitno Suwitno; Andri Wijaya
Tech-E Vol. 6 No. 1 (2022): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v6i1.1468

Education is very necessary in social life. Education has a role that will improve the quality of resources to be able to have the competencies needed in an increasingly advanced and developing era. Giving this scholarship will also greatly help someone in pursuing and even getting an education. Scholarships must also be done objectively, not just subjectively. Because the problems that occur when objectively granting scholarships may not be in accordance with the target of the scholarship award. Scholarships must also be given according to the right criteria so that the scholarship grants get maximum results for the administrators and scholarship recipients. The research was conducted using the Profile Matching method with Interpolation at the Indonesian Christian Church Pos Cikoleang, it will require decision makers to determine the weight value for each criterion. The results issued by the system are the congregations that are accepted and rejected in the scholarship application. and the system can provide scholarships with an accuracy rate of 78%.

Perancangan Web Sistem Informasi Tes Kemampuan Bahasa Inggris Kelas Menggunakan Metode Fisher Yates Shuffle Andri Wijaya; Frendy Dodo Chang
bit-Tech Vol. 5 No. 3 (2023): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v5i3.724

Information technology has been rapidly developing over the past few decades, and the COVID-19 pandemic has further accelerated the adoption and implementation of technology in various aspects of our lives, particularly in the business sector and education., where improvements in the learning system that were originally offline become online, practical, and easy. Currently, information regarding the English Test at Faculty of Social Sains and Humanities Buddhi Dharma University (UBD) is still running manually starting from registration, scheduling, exam, and announcement of English test results which of course requires more time for both participants and faculty staff. In order to boost students English knowledge, an English comprehension exam test is needed as organized by the faculty, that is English Proficiency Test (EPT). The design of this EPT information system, a part of being able to change the manual method, and also to simplified the EPT procedure. The new system is using website which combined with Fisher-Yates Shuffle method for randomization the exam test to reduce fraudulent actions in the process of conducting English training tests, being followed by 94 respondents as English training participants, system tested using the User Acceptance Test (UAT) method with five aspects of quality components. The results obtained that the system built had a good criteria with a value of 75.93%.

A IMPLEMENTASI ALGORITMA DATA MINING DALAM PREDIKSI KELULUSAN MAHASISWA BERBASIS WEB Suwitno Suwitno; Benny Daniawan; Andri Wijaya; Leona Fandini; Gesima Angel Sirait
ALGOR Vol. 7 No. 2 (2026): Research for Future
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

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

Prediksi kelulusan mahasiswa merupakan salah satu upaya strategis dalam mendukung pengambilan keputusan akademik secara lebih dini. Penelitian ini bertujuan membandingkan kinerja algoritma Support Vector Machine (SVM) dan Naive Bayes dalam mengidentifikasi status kelulusan mahasiswa berdasarkan data akademik. Dataset terdiri dari 541 data mahasiswa dengan atribut jenis kelamin, Indeks Prestasi Semester (IPS 1–8), IPK, dan usia. Tahapan penelitian meliputi pembersihan data, penanganan missing value menggunakan nilai rata-rata, transformasi data kategorikal dengan label encoding, normalisasi menggunakan standard scaler, serta pembagian data menjadi 80% data latih dan 20% data uji. Berdasarkan hasil pengujian, algoritma Support Vector Machine memperoleh akurasi 95,41% dengan nilai precision, recall, dan F1-score yang relatif seimbang pada kedua kelas sehingga menunjukkan kemampuan generalisasi yang baik. Sementara itu, Naive Bayes juga mampu melakukan klasifikasi dengan baik dengan akurasi 90,82%, namun menghasilkan tingkat akurasi yang lebih rendah dibandingkan SVM akibat asumsi independensi antar atribut yang kurang sesuai dengan karakteristik data akademik. Hasil penelitian menunjukkan bahwa Support Vector Machine merupakan metode yang lebih efektif dan direkomendasikan untuk prediksi kelulusan mahasiswa dibandingkan Naive Bayes pada dataset yang digunakan.

Pelatihan Membuat Presentasi Menarik Menggunakan Canva Untuk Anggota Penyuluh Agama Buddha Provinsi Banten Ardie Halim; Yo Ceng Giap; Raditya Rimbawan O; Wiyono; Andri Wijaya; Aditiya Hermawan; Jessen Laorenza Suwandi; Arvin Lawistra
Jurnal Igakerta Vol. 1 No. 4 (2024): Jurnal Igakerta
Publisher : IGAKERTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70234/h700cz90

Pengabdian kepada masyarakat (PkM) yang dilakukan oleh tim dosen dan mahasiswa Fakultas Sains dan Teknologi Universitas Buddhi Dharma, Tangerang bertujuan untuk memberikan pelatihan dalam membuat materi pembelajaran secara interaktif dan inovatif menggunakan media berbasis digital canva kepada anggota penyuluh agama Buddha (PAH) agar dapat membuat materi ceramah yang sesuai dengan cara yang interaktif dan inovatif. Metode yang digunakan dalam PkM ini adalah demontrasi (peragaan), praktikum (membuat materi ceramah secara langsung menggunakan komputer di laboratoriom komputer Universitas Buddhi Dharma) dan studi kasus (latihan mandiri membuat materi presentasi yang dipandu oleh tutor). Hasil PkM ini adalah para anggota PAH dapat memperoleh pemahaman dan pengetahuan tentang cara membuat slide presentasi dalam beberapa bentuk seperti teks, gambar, audio, video dengan menggunakan canva, sehingga akan mempermudah dalam penyampaian materi ceramah. Hal ini terlihat dari hasil kuesioner dengan persentase 74% peserta sangat setuju bahwa materi yang disampaikan sangat bermanfaat dan dapat dipraktekkan untuk mendukung pembuatan materi presentasi

Analisis Komparatif Algoritma Pembelajaran Mesin untuk Mengidentifikasi Keterlambatan Kelulusan Mahasiswa Benny Daniawan; Suwitno Suwitno; Andri Wijaya; Ardiane Rossi Kurniawan Maranto; Junaedi Junaedi
JUITA: Jurnal Informatika JUITA Vol. 14 Issue 2, July 2026
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v14i2.30186

Delayed student graduation is a critical issue in higher education because it affects academic planning, student support, and institutional performance evaluation. This study develops a leakage controlled machine learning framework for early identification of students at risk of delayed graduation, using academic records available through the sixth semester. A dataset of 564 students was used, with graduation status defined as on-time for students graduating in the eighth semester or earlier and delayed for those graduating after the eighth semester. To prevent temporal data leakage, post-outcome variables were excluded from the predictor set. Five supervised learning algorithms were evaluated: Decision Tree, Support Vector Machine, Random Forest, Naïve Bayes, and K-Nearest Neighbor. Preprocessing was performed using one-hot encoding and standardization within a pipeline, and model performance was assessed using stratified five-fold cross-validation. The tuned Random Forest achieved the most balanced performance, with 0.956 accuracy, 0.861 delayed-class precision, 0.805 delayed-class recall, 0.832 delayed-class F1-score, and 0.977 ROC-AUC. The tuned SVM with a threshold of 0.30 achieved higher delayed-class recall (0.857) and ROC-AUC (0.980). Feature-importance analysis indicated that fourth and fifth semester GPAs were the strongest predictors. These findings show that machine learning can support early academic intervention and data driven decision making in higher education.

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