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ZK Abdurahman Baizal
Universitas Telkom
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Penerapan Algoritma Artificial Immune System Untuk Penyusunan Rencana Perjalanan Pariwisata Muhammad Zaid Dzulfikar; Kemas Muslim Lhaksamana; Z K A Baizal
eProceedings of Engineering Vol 4, No 2 (2017): Agustus, 2017
Publisher : eProceedings of Engineering

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Abstract

Bandung adalah kota yang memiliki alam yang indah, masyarakat yang ramah, kuliner yang menggoda lidah, dan segudang sejarah. Maka tidak aneh jika banyak wisatawan domestik maupun mancanegara yang senang menghabiskan waktu untuk berwisata di kota kembang ini. Bicara soal waktu, masih banyak dari wisatawan yang waktunya tidak terkoordinir dengan baik dalam menghabiskan waktunya saat berwisata. Tentu hal ini disebabkan oleh banyak hal, salah satunya adalah rute tujuan yang tidak optimal. Pada tugas akhir ini kami berusaha membantu wisatawan dengan menghasilkan rute wisata yang optimal dengan constraint waktu dengan harapan waktu wisatawan yang terbuang menjadi lebih sedikit. Kasus ini serupa namun tak sama dengan Travelling Salesman Problem (TSP). Pada TSP, semua node dianggap sama sehingga kunjungan dapat dimulai dari mana saja asalkan kembali ke tempat tersebut. Sedangkan pada kasus ini, node yang mewakili tujuan wisata berbeda-beda jenisnya, seperti hotel, rumah makan, dan sebagainya. Dengan demikian, pengguna dapat memiliki preferensi terhadap urutan node yang ingin dikunjungi. Algoritma yang akan digunakan dalam kasus ini adalah Artificial Immune System (AIS). AIS adalah algoritma yang terinspirasi dari sistem kekebalan tubuh manusia. Algoritma AIS dalam kasus ini akan menghasilkan satu buah antibody yang merepresentasikan solusi urutan rute kunjungan wisata yang optimal. Kata kunci: Perutean, Artificial Immune System, Travelling Salesman Problem
Optimasi Kapasitas Penyimpanan Menggunakan Algoritma Genetika Miranti Andhita Scantya; Z K A Baizal; Danang Triantoro Murdiansyah
eProceedings of Engineering Vol 3, No 3 (2016): Desember, 2016
Publisher : eProceedings of Engineering

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Abstract

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Pengaruh Kualitas Produk dan Kualitas Pelayanan terhadap Keputusan Pembelian yang berdampak pada Loyalitas Konsumen Pedagang Ayam Potong di Pasar Wilayah Tangerang Selatan Produksi PT. Ra Chick Tangerang Selatan Kasmad, Kasmad
JIIP - Jurnal Ilmiah Ilmu Pendidikan Vol. 5 No. 11 (2022): JIIP (Jurnal Ilmiah Ilmu Pendidikan)
Publisher : STKIP Yapis Dompu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (367.768 KB) | DOI: 10.54371/jiip.v5i11.1098

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh kualitas produk dan kualitas pelayanan terhadap keputusan pembelian yang berdampak pada loyalitas konsumen pedagang ayam potong di pasar Wilayah Tangerang Selatan produksi PT Ra Chikck di Tangerang Selatan. Metode yang digunakan adalah explanatory research dengan sampel sebanyak 96 responden. Teknik analisis menggunakan analisis statistik dengan pengujian regresi, korelasi, determinasi dan uji hipotesis. Hasil penelitian ini Kualitas produk berpengaruh signifikan terhadap keputusan pembelian sebesar 36,6%, uji hipotesis diperoleh signifikansi 0,000 < 0,05. Kualitas pelayanan berpengaruh signifikan terhadap keputusan pembelian sebesar 41,0%, uji  hipotesis diperoleh signifikansi 0,000 < 0,05. Kualitas produk dan kualitas pelayanan secara simultan berpengaruh signifikan terhadap keputusan pembelian sebesar 52,8%, uji hipotesis diperoleh signifikansi 0,000 < 0,05. Keputusan pembelian berpengaruh signifikan terhadap loyalitas konsumen sebesar 31,0%, uji  hipotesis diperoleh signifikansi 0,000 < 0,05.
Music Recommender System using Autorec Method for Implicit Feedback Muhamad Faishal Irawan; Z K A Baizal
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.5653

Abstract

As the number of music and users in music streaming services increases, the role of music recommender systems is getting important to make it easier for users to find music that matches their tastes. The collaborative filtering paradigm is the most commonly used paradigm in developing recommender systems. Many studies have proven that deep learning is able to improve the performance of matrix factorization. One such method in deep learning that has been adapted for use in Recommender Systems is Autorec, which is a variation of the Autoencoder technique. Autorec shows that it performs better than the baseline matrix factorization using Movielens and Netflix datasets. Therefore, in this study we propose the use of Autorec to develop a recommender system for music. The experimental results show that Autorec performs better than Singular Value Decomposition (SVD), with an RMSE difference of 0.7.
Sosialisasi dan Penerapan Aplikasi Sekolah Digital untuk Meningkatkan Produktifitas Kegiatan Akademik dan Keuangan Irfan Darmawan; Alam Rahmatulloh; Rohmat Gunawan; ZK Abdurahman Baizal; Albi Fitransyah
Surya Abdimas Vol. 7 No. 2 (2023)
Publisher : Universitas Muhammadiyah Purworejo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37729/abdimas.v7i2.2766

Abstract

Perkembangan teknologi informasi saat ini telah mempengaruhi berbagai sektor, salah satunya sektor pendidikan. Implementasi teknologi informasi di sektor pendidikan dapat dilakukan pada berbagai aspek diantaranya: administrasi sekolah dan pengelolaan keuangan. Berberapa masalah terkait administrasi sekolah dan pengelolaan keuangan diantaranya: pencatatan administrasi sekolah masih terpisah-pisah, sehingga terjadi redundansi data dan pengelolaan data yang kurang baik. Pencatatan administrasi keuangan masih dilakukan secara konvensional pada buku. Masih terdapatnya input data serupa yang berulang, pencarian data, pemeriksaan dan pelaporan keuangan membutuhkan waktu lama. Solusi untuk mengatasi permasalahan tersebut, pada kegiatan pengabdian ini dilakukan sosialisai dan pelatihan penggunaan aplikasi sekolah digital. Terdapat tiga tahapan utama yang dilakukan pada pengabdian ini: persiapan, pengembangan aplikasi, pelaksanaan. Aktivitas utama yang dilakukan pada saat pelaksanaan pengabdian diantaranya: sosialisasi aplikasi sekolah digital, demo fitur aplikasi sekolah digital, uji coba aplikasi sekolah digital, disktusi terkait aplikasi sekolah digital. Pengelolaan administrasi akademik dan keuangan merupakan fokus tahap pertama yang diimplementasi di lokasi mitra. Pengisian kuisioner oleh mitra dilakukan setelah kegiatan utama dilaksanakan. Respon mitra terhadap 6 pernyataan terkait pelaksaan kegiatan pengabdian, rata-rata memberikan nilai pada kategori S = Setuju, ini berarti mitra setuju dan mendukung terkadap kegiatan pengabdian ini.
Ontology-based Conversational Recommender System for Recommending Camera Restu Aditya Rachman; Z. K. A. Baizal
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 3 (2023): Juni 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i3.4852

Abstract

The camera is a product that has developed very quickly in terms of specifications and functions. In addition, the cameras available on the market are becoming increasingly varied, so customers need more time to find a camera that suits their needs. Currently, many recommender systems have been developed to assist users in finding suitable products, especially the conversational recommender system (CRS). CRS is a recommender system that recommends products through conversations between the user and the system. However, many developed CRS still forces users to have knowledge of the product's technical characteristics. In the real world, many people are not familiar with the technical features of products, especially cameras. People interact more easily with CRS by stating the camera function they want. In this study, we call that statement functional requirements. Therefore, we proposed a CRS for recommending cameras that interact with users using functional requirements. This CRS uses semantic reasoning techniques on ontologies. To evaluate system performance, we use two parameters, i.e., user satisfaction and recommendation accuracy. The evaluation results show that the accuracy of the recommendations is at a value of 82.35%, and the level of user satisfaction reaches 0.66. With these results, the system can provide recommendations accurately and satisfy users.
Group Recommender System using Matrix Factorization Technique for Book Domain Moh Naufal Mizan Saputro; Z. K. A. Baizal
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 3 (2023): Juli 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i3.6435

Abstract

A recommender system helps users to select the desired items by analyzing the user's habit of interacting with the system. Recommender system also help the group of users for selecting items due to information overloads. Group Recommender System (GRS) is designed to identify all preferences within a group. An aggregation strategy is needed to accommodate all user preferences in a group. GRS is required in many cases, for example in the book domain, a bookstore recommends a list of books through a display for a group of visitors. We design a GRS for the book domain using Matrix Factorization technique. We utilize three methods to design GRS, such as After Factorization (AF), Before Factorization (BF), and Weighted Before Factorization (WBF). These three approaches were applied to three different group categories, i.e., small groups, medium groups, and large groups. We aim to find the best approach for each group category in this research. The evaluation metrics used are precision and recall in building this GRS. The results of this research indicate that a small group is suitable for using all three approaches, AF methods is the best approach methods for medium groups, and the best approach method for large groups is WBF.
Perancangan User Interface pada Aplikasi Gowes Berbasis Mobile Android Teguh Surya Apri Handoyo; Nungki Selviandro; Abdurahman Baizal
SEIKO : Journal of Management & Business Vol 6, No 2 (2023): July - December
Publisher : Program Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/sejaman.v6i2.5027

Abstract

Gowes Virtual sebuah aplikasi yang dikembangkan tim project Wrap Entrpreneurship Universitas Telkom, target pengguna hanya baru mahasiswa maupun seseorang yang berkunjung ke Universitas Telkom. Aplikasi ini dibuat untuk Virtual Tour Universitas Telkom sambil berolahraga ketika terkendala dengan cuaca hujan ataupun ada rasa malas keluar ruangan. aplikasi ini disajikan berupa tampilan tiga Dimensi yang berlatar belakang Universitas Telkom maupun pemandangan kota-kota di Indonesia, agar lebih termotivasi lagi jika ingin bersepeda, pada perkembangan kedepannya ada berupa fitur Multiplayer dimana pengguna bisa bersepeda bersama. Oleh karena itu penulis merancang aplikasi tersebut dimulai dengan desain User Interface yang menarik dan mudah dipahami oleh pengguna, Pengujian ini sendiri menggunakan metode User Centered Design (UCD) untuk melakukan pendekatan terhadap calon pengguna. Dalam pengujian desain itu sendiri mengacu pada Single Ease Question (SEQ) merupakan salah satu Post Task Questionnaire yang digunakan dalam menilai tingkat kemudahan pada suatu fitur produk berdasarkan pengalaman user. Prototipe yang dibangun mendapatkan presentase pengujian skala 6 sebesar 58% dan skala rata-rata sebesar 6,36 yang mana memiliki tingkat kemudahan yang mudah. Hal ini melebihi skala yang telah ditentukan sebelumnya yaitu usability lebih besar sama dengan 5,6. Kata Kunci: User Interface, Gowes Virtual, User Centered Design,Universitas Telkom, Desain.
Movie Recommender System Using Decision Tree Method Muhammad Bilal Rafif Azaki; Z. K. A. Baizal
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 8, No 3 (2023)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v8i3.3867

Abstract

In this modern era, many things that can be done online, one of which is watching movies. When the number of movies increases, people often find it difficult to decide which movie to watch next. To solve this problem, a useful recommendation system was developed to find movies that one might like based on movies that have been watched before. This research develops a movie recommendation system using Collaborative Filtering (CF) with the Decision Tree algorithm. In this study, the data used were movie data and ratings obtained from the grouplens.org website. Then the movielens dataset is filtered and only saves movies with a rating of more than 50 that are used in the recommendation system. In this study, Mean Absolute Error (MAE) is used as a method to assess the accuracy of the movie recommendation system. Based on the research that has been done, Decision Tree gets better results with an MAE value of 0,942 compared to Collaborative Filtering with an MAE value of 1,242.
N-Days Tourist Route Recommender System in Yogyakarta Using Genetic Algorithm Method Muhammad Ridha Anshari; Z. K. A. Baizal
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 8, No 3 (2023)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v8i3.3893

Abstract

Tourism is one of the proven solutions for the Indonesian economy. Tourism in certain regions, such as Yogyakarta, can significantly affect the region's economic development, including creating new jobs, creating new business opportunities, and increasing regional income. However, for tourists from outside Yogyakarta, it requires planning a tour before traveling in Yogyakarta, especially if he wants to spend several days on a tour. Many previous studies have developed systems that can recommend tourist routes, but not within a few days of tourist visits. In this study, we propose the use of Genetic Algorithm (GA) for automatically generating optimal travel itinerary for some days visit (n-days tour route). We develop the recommender system by combining GA and the concept of Multi-Attribute Utility Theory (MAUT). This MAUT used for accommodating user needs based some criteria such as rating, cost, and time. Based on our experimental results, GA is optimal in terms of execution time and number of attractions visited in n-days visit. The average execution time obtained is 59.62%, and the average number of attractions visited obtained is 45.95%. These results show that this method can generate tourist routes efficiently.
Co-Authors Abdul Muqit Abdullah Helmy Ade Kosasih Ade Romadhon Ade Sukma Adisti Rastosari Aditya, Naufal Adri Nur Fajari Afriani Sandra Agung Toto Wibowo Agus Alim Abdullah Ahmad Lubis Ghozali Akbar, Yoan Amri Alam Rahmatulloh Albi Fitransyah Ali, Muhammad Haidir Allismawita Allismawita amnah amnah An Fauzia Rozani Syafei Ana Fitriana Poerana Andiety, Rich Andini, Andini Andjioe, Oscar Rynandi Angelina Sagita Sastrawan Anindya, Widya Dara Aniq A Rahmawati Aniq A. Rahmawati Anisa Herdiani Annisa Cahya Anggraeni Annisa Cahya Anggraeni Antonius Randy Arjun Ardi Ardi Ari Satrio Arie Lasaprima Arifa Nur Hasanah Aryadi Pramarta Aryanta, Rafi Rizkya Ayunda Farah Istiqamah Budiarti, L Endang Burhanuddin Bahar Cahya, Anindya Cahyani, Hilda Canda Ayu Arum Pertiwi Christhofer Laurent Juliant Cut Sri Maulina D. Novia Daffa Barin Tizard Riyadi Damayanti, Elok Dana Sulistyo Kusumo Danang Triantoro Murdiansyah Darmawan, Faiha Adzra Dede Tarwidi Dedi Romli Triputra Dendy Andra Deni Novia Dessy Abdullah Devi Pratami Dhiva Rezzy Pratama Diah Mahmuda Diah Pudi Langgeni Didik Tri Setiyoko Didit Adytia Djoko Wahyono Donni Richasdy Dreyfus, Shoshana Dwi H Widyantoro Dwi Maya Sari Dwinda Tamara Edy Tandililing Eka Ismantohadi Elly Roza Elsa Rachel Dementieva Erbina Selvia Br Perangin-Angin Erliansyah Nasution Erni Masdupi Erwin B. Setiawan Erwin Budi Setiawan Esa Alfitrassalam Evitayani Evitayani Fadillah, Ichsan Alam Fatimah Nurhayani Fatimatus Zahroh Favian Dewanta Ferawati Ferawati Fernandy Marbun Ferry Lismanto Syaiful Firmansyah Firmansyah Fitriani Mangerangi Gentra Aditya Putra Ruswanda Gesit Tabrani Ghazi Ahmad Fadhlullah Gholib Gholib Grace Yohana Grace Yohana Gusti Ayu Marheni Gustina Lubis Hafid Ahmad Adyatma Hakim, Lukman Nur Hary Yuswadi Hasanuddin Hasanuddin Hasanusi, Mohammad Helmi Arifin Hendra Naldi Humaizi, Humaizi Humaizi, Humaizi Ichwanul Muslim Karo Karo Ida Ayu Putu Sri Widnyani Igga Febrian Virgiani Ika Arum Puspita Ilham Mujaddid Al Masyriq Imam Sunarno, Imam Ina Rofi’atun Nasihati Indira Adnani Indri Juliyarsi Inggrid Resmi Benita Intan Dwi Novieta, Intan Dwi Irfan Darmawan Irhas Jaya Iryanto Iryanto Iut Tri Utami Izzatul Ummah Jaka E. Sembodo Jamhari Jamhari Jamsari Jamsari Jaya, Irhas Jayana Citra Agung Pramu Putra Joni Dwi Pribadi Kalsum Kalsum Kemas M Lhaksmana Kemas M. Lhaksmana Kemas Muslim Lhaksmana Khaidarmansyah Khairiah, Khairiah Khamim, Khamim Khasrad . Khatimah, Ummu Husnul Khoirunnisaa’ Khoirunnisaa’ Khusnul Diana Kun Mustain Kusnadi, Kusnadi Lie Othman Lilis Suryani Lisa Rahmi Litasari Widyastuti, Litasari Liviandra, Monica Loiz, Andhika Lubis, Putri Handayani Lutfi Ambarwati M. Duskri M. Naufal Mu'afa M. Qadrian M. Rayhan Hakim Mahmud Dwi Sulistiyo Mahmud Imrona Mala Nurilmala Mansyur Arif Marayasa, I Nyoman Marendra Septianta Mayasari Mayasari Mella Ismelina Farma Rahayu Miranti Andhita Scantya Mirna Fitrani Misna Ariani Mizanul Kirom Moch Arif Bijaksana Moh Naufal Mizan Saputro Moh Z Mubarok Moh. Mahsus Mudayatiningsih, Sri Muhamad Faishal Irawan Muhamad Hafidh Nofal Muhammad Adlim Muhammad Agus Muljanto Muhammad Alwi Nugraha Muhammad Attalariq Muhammad Bilal Rafif Azaki Muhammad Ilham Hafizha Muhammad Ilham Hafizha Muhammad Ridha Anshari Muhammad Zaid Dzulfikar Muhammad, Widi Sayyd Fadhil Mustakim, ' Musthafa Zaki Bahar Mustofa, Mutmainnah Nabila Wardah Zamani Najla Nur Adila Naufal Akbar Hartono Ni Nyoman Sumiasih Ni Wayan Armini Niken Titi Pratitis Ningsih Purba Ningsih, Ayu Oktavia Nirmala Ayu Aryanti Nisa, Intan Khairu Nofal, Muhamad Hafidh Nora. AN, Desri Nungki Selviandro Nur Azlina Nur Jamilah Nur Rahmawati Nur Ulfa Maulidevi Nuraini Lubis Nurfadhlina Mohd Sharef Nurjayanto, Bagus Wicaksono Nurul Ikhsan Okky Brillian Hibrianto Okky Brillian Hibrianto P, Kadek Abi Satria A V Pahrurrobi Pahrurrobi Prasetia, Reza Putra, A. D. A. Putu Harry Gunawan Qisti R Arvianti Rachmi Helfianur Radhiva Hibatullah, Muhammad Rafiuddin, Rafiuddin Rahmat Firdaus Rahmi Wati Raihani Mohamed Rais Rais Ramadhan, Sageri Fikri Ramadhani, Nur Laili Ramanti Dharayani Randika Dwi Maulana Rasyid Ranestari Sastriani Rasbawati, Rasbawati Rayhan M Auliarahman Reinaldo Kenneth Darmawan Rena Feri Wijayanti Restu Aditya Rachman Reza Rendian Septiawan Rezano, Tomi Richo Fedhia Saldhi Rika Afriani Rina Dahlyanti Rinaldi Jasmi Rinita Amelia Risa Tiuria Risfaheri - Riska Padilah Riski Hernando Rita Rismala Rizaldy Arigi Rizky Andrian Rizqi Bayu Aji Robi Amizar Roby Dwi Hartanto Rohmat Gunawan Romy Adzani Adiputra Roseno, Rizky Haffiyan Rr Amanda Pasca Rini, Rr Amanda Pasca Ruh Devita Widhiana Prabowo Rusli, Ridho Kurniawan S. Syamsurizal Sa&#039;diatul Fuadiyah Sahlya Handayati Salam N. Aritonang Sanusi Ibrahim Sarini Vita Dewi Sedyo Mukti, Putri Ayu Sepri Reski Shaufiah . Sigit Budisantoso Silvia Atika Anggrayni Simon He Siti Rohani Sitorus, Angela Tiara Maharani Sri Andayani Sri Melia Suci Aprianti Sukanta Sumaryati Syukur Suyitman Suyitman Syaifuddin Ahrom Syaifuddin Ahrom Syamsul Hadi Tebay, Selvi Teguh Surya Apri Handoyo Theriana Ayu Waskitaning Tyas Thoriq Akhdan, Muh Titi Sumanti Tongku Nizwan Siregar Ufra Neshia Umar Ali Ahmad Urnemi - Urnemi Urnemi Utomo, Muhajir Veritia, Veritia Vici E.H.S. Susilowati Wibowo, Kurnia Drajat Winardhi, Sonny Winardhi, Sonny Wiratama, Arga Kusuma Wiwik Handayani Wizna (Wizna) Wulandari, Dinda Atikah Yani Riyani Yanuar Firdaus Yanuar Firdaus A Yanuar Firdaus A.W. Yesi Chwenta Sari Yoan Amri Akbar Yolani Utami Yudha E. Pratama Yudha Endra Pratama Yuherman Yuherman Yulia Murni Yulia Yellita Yuliant Sibaroni Yulianti Fitri Kurnia Yuliawati Yuliawati Yulisna Gita Hapsari Yundari, Yundari Yusran Khery, Yusran Yusri Dianne Jurnalis Yusza Reditya Murti Zidni Mubarok Zoni Hidayat