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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Pilar Nusa Mandiri Journal of Applied Data Sciences Jurnal Kecerdasan Buatan dan Teknologi Informasi Explore
Lalu Darmawan Bakti, Lalu Darmawan
College Computer Information Management (STMIK) Mataram, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Fingerprint Pattern of Matching Family with GLCM Feature Bahtiar Imran; Karya Gunawan; Muhammad Zohri; Lalu Darmawan Bakti
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 4: August 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i4.8534

Abstract

In this research, fingerprint pattern matching is done to find out whether there is the similarity between parent and child fingerprint pattern. An important step in fingerprint matching is the fingerprint pattern search and matching. Fingerprint data is used by 11 families from various families. The method used in fingerprint feature extraction is GLCM. The GLCM angle used is 0o, and the features used are contrast, homogeneity, correlation, and energy. For fingerprint pattern matching use minutiae score. From the results obtained GLCM has been widely used in fingerprint texture analysis. This study proves that the proposed method for matching fingerprints on parents and children gets the most dominant pattern is the loop pattern.
Exergy Assessment of Photovoltaic Thermal with V-groove Collector Using Theoretical study Muhammad Zohri; Nurato Nurato; Lalu Darmawan Bakti; Ahmad Fudholi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 2: April 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i2.8433

Abstract

The solution of the environmental problems because of fuel fossil is to use new and renewable energy. There are many studies about energy analysis of solar collector with v-groove but exergy analysis of photovoltaic thermal system with v-groove is still less especially by theoretical study. Photovoltaic thermal with v-groove collector has been conducted the exergy analysis by theoretical assessment. The matrix inversion methods were used to analyze the energy balance equation. The theoretical assessment was conducted under the solar intensity of 385 W/m2, 575 W/m2, and 875 W/m2 and mass flow rate between 0.01 and 0.05 kg/s. The maximum exergy efficiency and exergy of PVT system with v-groove collector were 17.80% and 86.32 Watt at the solar intensity of 875 W/m2.
Sistem Informasi Jadwal Mengajar Berbasis Web Pada TPQ Al Ikhlas Ampenan Mahayadi; Muhammad Ikbal; Lalu Darmawan Bakti
Explore Vol 7 No 1 (2017): Januari 2017
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/ex.v7i1.7

Abstract

Pengelolaan data yang baik akan sangat membantu dalam penyelesaian suatu pekerjaan,Website merupakan salah satu media yang digunakan untuk membangun atau mendesain sebuahaplikasi. Belum efektifnya sistem penyusunan jadwal mengajar di TPQ Al Ikhlas Ampenan karena sistemmanual yang digunakan menjadi alasan dilakukannya penelitian ini. Penelitian ini menghasilkan sebuahsistem informasi yaitu sistem informasi jadwal mengajar berbasis web pada TPQ Al Ikhlas Ampenandengan metode pengembangan sistem yaitu Waterfall. Sistem Informasi jadwal mengajar ini dibuatdengan menggunakan bahasa pemrograman PHP dan database MySQL. Perancangan sistem dibuatdengan flowchart sistem dan Entity Relationship Diagram (ERD). Sistem informasi jadwal mengajar padaTPQ Al Ikhlas Ampenan berbasis web diharapkan yang dapat memberikan kemudahan bagi admin dalammengelola data jadwal mengajar. Dengan adanya sistem informasi ini juga santri dan guru dapat melihatjadwal mengajar melalui website.
DESIGN AND DEVELOPMENT OF AN INTERNAL QUALITY AUDIT INFORMATION SYSTEM BASED PPEPP CYCLE Yani, Ahmad; Bakti, Lalu Darmawan; Akbar, Ardiyallah; Imran, Bahtiar
Jurnal Pilar Nusa Mandiri Vol. 20 No. 1 (2024): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v20i1.4729

Abstract

The Mataram University of Technology Quality Assurance Institute already has and has established national education standards plus the standards set by universities following Permendikbud number 3 of 2020. However, there are problems with the implementation of Internal Quality Audits, where the implementation of internal quality audits is very less effective and efficient, good in terms of time, cost, and energy. This is because the Mataram University of Technology Quality Assurance Institute only has 3 auditors to audit 12 study programs in one year and even spends two months in a row. This is an important concern for researchers to build and produce an internal quality audit information system application program that can help implement the internal quality audit process carried out by the Mataram University of Technology Quality Assurance Institute. The design of the internal quality audit information system was carried out using the prototyping method. The application of the prototyping method in system design will make information system builders better and more structured. The internal quality audit information system was built using the PHP programming language with the CodeIgniter framework and MySQL as the database and implementing Code-View-Controller (MVC). The main objective of this research is to produce an internal quality audit information system so that it can assist the Mataram University of Technology Quality Assurance Institute in documenting and optimizing higher education quality management in a planned and sustainable manner following the PPEPP cycle
Predictive and Analytics using Data Mining and Machine Learning for Customer Churn Prediction Lukita, Chandra; Bakti, Lalu Darmawan; Rusilowati, Umi; Sutarman, Asep; Rahardja, Untung
Journal of Applied Data Sciences Vol 4, No 4: DECEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i4.131

Abstract

This research aims to predict and analyze customer churn using Data Mining and Machine Learning methods. The background of this research is based on the importance of understanding the factors that influence customer decisions to churn, as well as improving the effectiveness of customer retention strategies in a business context. The method used in this research involves the use of a customer bank dataset that includes information about customers who left in the past month, services registered by customers, customer account information, and demographic info about customers. The factors most influential to churn were identified through heatmap analysis, including MonthlyCharges, PaperlessBilling, SeniorCitizen, PaymentMethod, MultipleLines, and PhoneService. This research compares the performance of several machine learning algorithms, including Random Forest, Logistic Regression, Adaboost, and Extreme Gradient Boosting (XGBoost), to predict customer churn. Accuracy metrics and confusion matrix results are used to evaluate the performance of these algorithms. The results showed that XGBoost proved to be the best algorithm in predicting customer churn with high accuracy. The factors that have been correctly identified do not provide missed precision, showing a significant influence on customer churn decisions. The novelty and uniqueness of this research lies in focusing on the factors that have the most influence on customer churn and comparing the performance of machine learning algorithms. This research provides more specific and relevant insights for companies in developing effective customer retention strategies. However, this research has some limitations. One of them is the use of a dataset limited to a customer bank, so the generalizability of the findings of this research may be limited to that business context. In addition, other factors that are not the focus of this research may also contribute to the prediction of customer churn.
SISTEM PAKAR DIAGNOSIS PENYAKIT ISPA MENGGUNAKAN METODE NAÏVE BAYES BERBASIS WEB PADA PUSKESMAS TERATAK Hidayatullah, Wahyu; Salman; Bakti, Lalu Darmawan
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 2 No. 1 (2023): January 2023
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v2i1.13

Abstract

ISPA (Infeksi Saluran Pernafasan Akut) adalah suatu penyakit yang timbul akibat gangguan saluran pernafasan yang dapat menyebabkan berbagai macam penyakit mulai dari penyakit tanpa gejala, infeksi ringan hingga berat akibat dari faktor lingkungan. Kurangnya pengetahuan masyarakat mengenai gejala, cara penanganan serta cara mengatasi nya, mengakibatkan angka kematian yang cukup tinggi akibat ISPA. Sistem pakar yang akan dibuat diperuntukkan untuk memudahkan seseorang dalam melakukan diagnosa penyakit ISPA dengan cara mengadopsi pengetahuan manusia ke dalam sistem komputer sehingga sistem pakar mampu menyelesaikan permasalahan seperti yang dilakukan seorang pakar. Aplikasi sistem pakar yang dibuat menggunakan metode Naive Bayes dikarenakan metode Naive Bayes merupakan metode klasifikasi terbaik dengan probabilitas yang tinggi ketika digunakan dalam perhitungan sistem nya. Dengan aplikasi ini seseorang akan merasa seperti sedang berkonsultasi dengan seorang dokter atau pakar yang menangani penyakit ISPA. Aplikasi ini dibangun berbasis website dengan menggunakan bahasa pemrograman PHP, framework Codeigniter dan database MySQL. Terdapat data latih sebanyak 104 data dan telah dilakukan pengujian sebanyak 39 data uji. Dari 39 kali pengujian terdapat 36 data uji yang sesuai dan ada 3 data uji yang tidak sesuai. Diperoleh akurasi dari pengujian tersebut sebesar 92,3%. Kata Kunci : Sistem Pakar, ISPA, Metode Naive Bayes.
SISTEM PAKAR DIAGNOSA PENYAKIT PADA KUCING DENGAN METODE CERTAINTY FACTOR BERBASIS WEB Fira Kusuma Wardana; Bakti, Lalu Darmawan; Nurwijayanti, Karina
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 2 No. 1 (2023): January 2023
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v2i1.14

Abstract

Penelitian ini bertujuan untuk mengatasi masalah kesulitan pecinta kucing yang banyak terhalang kendala untuk mengunjungi seorang pakar hewan khususnya kucing dalam mendeteksi maupun mendiagnosa penyakit kucing nya dengan membangun sistem pakar diagnosa penyakit pada kucing dengan metode Certainty Factor berbasis web. Penelitian ini menggunakan metode penelitian Waterfall. Model pengembangan yang dilakukan meliputi tahap analisis kebutuhan, desain, pembuatan kode program, dan pengujian. Data diperoleh dari observasi dan wawancara yang dilakukan terhadap dokter di salah satu klinik hewan yang berlokasi di Perumnas Tj. Karang Permai yaitu Drh. Diah Purwitasari, M.sc. Pada tahap perancangan sistem, dilakukan dengan merancang flowchart, use case diagram, activity diagram, entity relationship diagram (ERD) dan perancangan desain interface. Pengujian sistem dilakukan dengan dua cara yaitu Blackbox Testing dan pengujian usability. Pengujian usability dilakukan dengan memberikan kuesioner penilaian aplikasi kepada 20 orang responden. Hasil pengujian usabilitas menunjukkan bahwa tingkat usablitas dari aplikasi adalah sebesar 93.2% dengan kategori sangat baik. Kelemahan dalam aplikasi ini adalah tidak ada pemilihan ras dan jenis kucing dalam proses diagnosa.
Co-Authors Ahmad Fudholi ahmad yani Akbar, Ardiyallah Fira Kusuma Wardana Hidayatullah, Wahyu Imran, Bahtiar Karya Gunawan Mahayadi Muhammad Ikbal Muhammad Zohri Muhammad Zohri Nurato Nurato Nurwijayanti, Karina rusilowati, umi Salman Sutarman, Asep Untung Rahardja