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All Journal Jurnal Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) JurTI (JURNAL TEKNOLOGI INFORMASI) JUTEKIN (Jurnal Manajemen Informatika) KOMPUTA : Jurnal Ilmiah Komputer dan Informatika Jurnal Tekno Kompak Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Zonasi: Jurnal Sistem Informasi Generation Journal Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal E-Komtek JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Rengganis Jurnal Pengabdian Masyarakat Jurnal Bangkit Indonesia Informasi interaktif : jurnal informatika dan teknologi informasi
Lukman Bachtiar
Universitas Darwan Ali
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences

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PENGEMBANGAN TEKNOLOGI MOBILE UNTUK SISTEM KASIR RUMAH MAKAN DI KOTA SAMPIT MENGGUNAKAN FIREBASE REALTIME DATABASE Kurniawati; Lukman Bachtiar
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 5 No. 2 (2020)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v5i2.51

Abstract

Trend masyarakat yang sedang berkembang sekarang yaitu mereka cenderung lebih tertarik terhadap teknologi yang dapat memberikan kemudahan, baik dalam penerapannya maupun penggunaannya. Salah satu contoh teknologi informasi yang diperlukan zaman sekarang adalah sistem kasir. Sistem kasir merupakan sebuah teknologi informasi yang dapat melakukan perhitungan total belanjaan secara cepat dan akurat serta bisa menampilkan laporan penjualan. Sistem ini biasanya diterapkan pada sebuah toko retail, rumah makan dan lainnya serta dapat diterapkan dalam basis desktop, web maupun mobile. Meskipun teknologi ini sudah lama ditemukan, namun faktanya masih banyak toko-toko atau rumah makan yang belum menerapkan teknologi ini dalam kegiatan bisnis mereka terutama di kota Sampit. Proses pembuatan aplikasi ini menggunakan bahasa pemrograman Java serta beberapa software pendukung yaitu Android Studio, BlueStack serta Firebase Console yang digunakan untuk pembuatan program, database dan user interface.
Pengembangan Teknologi E-Marketplace Untuk Hasil Pertanian, Perkebunan Dan Perikanan Kecamatan Seranau Fakhriza Firdaus; Lukman Bachtiar
Journal of Information System Research (JOSH) Vol 2 No 1 (2020): Oktober 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (836.356 KB)

Abstract

Seranau sub-district is part of the East Kotawaringin district which covers one Urban-villages and five villages. Where most of the population is a business actor in agriculture, plantations and fisheries. However, this is not accompanied by the use of existing technology, one of which is technology in the internet sector. As we know, the benefits of the internet as an effective marketing method. With marketing that is not yet widespread, production and income are not maximized. E-Marketplace is a form of marketing using internet technology. Where as a meeting place for sellers and buyers in one site. By building an E-Marketplace, it makes it easier for business actors to market their business products.
Analisis Perbandingan Sistem Pendukung Keputusan Menggunakan Metode SAW dan WP Dalam Penilaian Kinerja Tenaga Kontrak Yusril Yusuf; Lukman Bachtiar
Jurnal Sistem Komputer dan Informatika (JSON) Vol 4, No 1 (2022): September 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i1.4421

Abstract

Employees at the Regional Secretariat office of East Kotawaringin Regency are divided into 2, namely Permanent Employees (Civil Employees) and Contract Employees (Contract Workers). Contract workers are employees who have non-permanent employment status, so it is necessary to evaluate the quality of their performance to determine the sustainability of the contract extension. There are 6 assessment criteria that are used as a reference for assessing the performance of contract workers, namely Individual Performance Targets, Service Orientation, Integrity, Commitment, Discipline, and Cooperation. The performance appraisal of contract workers at SETDA Kotim has been computerized, but there is still no method applied to the performance appraisal of contract workers, causing the performance appraisal of contract workers to be unstructured. From these problems, a decision support system is needed to be able to assist the process of assessing the performance of contract workers. The researcher conducted a comparative analysis between the SAW method and the WP method, which is expected to determine the right method to be applied in the performance appraisal of contract workers, and can assist the personnel department in processing the performance appraisal of contract workers. Based on the final calculation results, the SAW method and the WP method can be applied in assessing the performance of contract workers and produce the same ranking order, namely the alternative contract worker named A2 = Akmad Rosidi as the best alternative, followed by the other best alternatives A5, A1, A3, and A4. From the comparison results using the MSE (Mean Squared Error) method, the Weighted Product (WP) method produces a higher deviation value than the Simple Addative Weighting (SAW) method, with a comparison of the deviation values, namely the WP method = 228679.4811, while the SAW method = 227926, 7694. So, the Weighted Product (WP) method can be recommended in assessing the performance of contract workers at the Regional Secretariat of East Kotawaringin Regency.
Analisis Sistem Pendukung Keputusan Penentuan Penerima Beasiswa Menggunakan Metode SAW dan AHP Rakhma Sarita; Lukman Bachtiar
Jurnal Sistem Komputer dan Informatika (JSON) Vol 4, No 1 (2022): September 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i1.4573

Abstract

Scholarship is one of the allowances given to students as study aid provided by the government. Likewise with the Kotawaringin Timur government, which annually provides scholarship assistance to students with limited conditions and quotas. Formal educational institutions under the auspices of the Kotim Regency Education Office, students or college students get a quota for those participating in the scholarship program for underprivileged and high achieving criteria from the government. Therefore, scholarships must be given to students who deserve and deserve to get it in accordance with the regulations that have been set at the Kotim Regional Secretariat office. This selection process requires accuracy and a long time, because each data is compared with each other according to predetermined criteria. This study resulted in the final value of the comparison between the SAW and AHP methods. The final result with the SAW method the highest value obtained by the fifth alternative with 100. While the final result with the AHP method obtained the highest value by A1 with a value of 0.4734.
Aplikasi Pendukung Keputusan Prediksi Penjualan Air Minum Isi Ulang Menggunakan Metode Trend Moment Hazanisya Priliani Hutrim; Lukman Bachtiar
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 11, No 3: Desember 2022
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v11i3.948

Abstract

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Analisis Sistem Pendukung Keputusan Dalam Rekomendasi Kenaikan Pangkat PNS Menggunakan Kombinasi Metode TOPSIS dan SAW Anisa Agustina Melani; Lukman Bachtiar
Jurnal Sistem Komputer dan Informatika (JSON) Vol 4, No 2 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i2.4471

Abstract

PNS promotion is an award given to Civil Servants who have met the specified requirements as well as for work performance and service to the country. a Civil Servant is required to continue to be able to apply for promotions periodically to the highest level, so that within a certain period of time every civil servant gets the opportunity to apply for promotions. Similar to the scope of the East Kotawaringin Regional Secretariat, civil servants have the right to apply for a promotion every 4 years. The Staffing of the Regional Secretariat of the Kotim has difficulties in selecting the file for promotion proposals because of the large number of employees who propose promotions and the files and provisions gathered by civil servants must be managed immediately so that they are submitted to the BKPSDM. Researchers offer a decision support system with TOPSIS and SAW methods. The combination of the two methods serves to produce optimal decisions in accordance with predetermined criteria. This study uses 5 alternatives and 4 criteria. In this study, the alternatives consisted of Kurniawan Wibowo, Idris Sugiono, Nuringsih Sujati, Meuthia Rakhmasari, and Maulana. Of the five alternatives, those with the highest final score were Idris Sugiono, Nuringsih Sujati and Meuthia Rakhmasari with a value of 0.427 or 42.7%.
Perbandingan Kinerja Antara Metode Sistem Pendukung Keputusan Dengan Analisis Ketercapaian Skore Dalam Penilaian Kinerja Guru Taman Kanak-Kanak "NH" Kabupaten Kotawaringin Timur Lukman Bachtiar; Nurahman Nurahman; Heri Abijono
(JurTI) Jurnal Teknologi Informasi Vol 6, No 2 (2022): DESEMBER 2022
Publisher : Universitas Asahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36294/jurti.v6i2.2960

Abstract

Taman Kanak-kanak Islam Terpadu “NH” setiap satu tahun sekali rutin melakukan penilaian kinerja guru oleh orangtua/wali siswa dan rekan sejawat. Penelitian ini menjelaskan mengenai kombinasi dua buah algoritma, yaitu Weighted Product dan Simple Additive Weighting, dengan tujuan untuk lebih mengoptimalkan dalam membuat simpulan hasil penilaian kinerja guru. Peneliti juga membandingkan hasil perhitungan dari analisis ketercapaian skore dengan hasil perhitungan dengan kombinasi metode-metode sistem pendukung keputusan yang sudah dituliskan di atas, untuk menunjukkan bahwa bobot tiap-tiap kriteria pada permasalahan penilaian kinerja guru ini sangat mempengaruhi nilai akhir maupun predikat dari nilai akhir itu. Hasil dari pemrosesan dua buah algoritma itu dan predikat kinerja yang diperoleh alternatif yang sedang dinilai kinerjanya dalam satu tahun pelajaran. Hasil pemrosesan ini kemudian dapat diajukan kepada Kepala Sekolah sebagai rekomendasi untuk menindaklanjuti melakukan improvisasi kinerja para guru di Taman Kanak-kanan Islam Terpadu "NH".
Analisis Perbandingan Sistem Pendukung Keputusan Menggunakan Metode Smart Dan Profile matching Pemilihan Supplier Vapor Zandra Nur Arif; Lukman Bachtiar
Jurnal Tekno Kompak Vol 17, No 1 (2023): Februari
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtk.v17i1.2144

Abstract

Toko garage vapor sampit merupakan toko yang berjualan vapor dan segala peralatan vapor di sampit, Kotawaringin Timur, Kalimantan Tengah. Dalam pemilihan supplier, toko ini masih memilih supplier dengan perkiraan saja dan perkiraan ini kurang efektif. Di toko garage vapor perlu dilakukan pengambilan keputusan untuk menentukan supplier terbaik. Proses pengambilan keputusan supplier ini dilakukan ketika setiap stok barang tersisa sedikit atau sudah mencapai batas minimum. Oleh karena itu pengambilan keputusan harus selalu dilakukan pada saat ingin menambah stok barang dari supplier. Adapun beberapa kriteria-kriteria yang dinilai yaitu harga, diskon, ongkir, waktu pengiriman, pengemasan. Oleh sebab itu toko garage ini membutuhkan sistem pendukung keputusan agar dalam memilih supplier menjadi lebih akurat dan bisa menguntungkan toko ini. Dari permasalahan tersebut dibuatlah sebuah analisis perbandingan, metode yang digunakan pada Sistem Pendukung Keputusan (Decision support system) yaitu Metode Profile matching dan Smart (Simple Multi Attribute Rating Technique). Kedua metode tersebut sama-sama bisa digunakan dalam pemilihan Supplier. Kedua metode ini dibandingkan untuk menentukan metode mana yang tepat dan lebih akurat dan dapat diterapkan dalam pemilihan supplier. Ketika sudah menemukan hasil perbandingan metode mna yang terbaik diharpkan metode tersebut bisa membantu menyelesaikan masalah dalam pemilihan supplier. Berdasarkan hasil dari perhitungan menggunakan metode Smart menghasilkan ururan perangkingan yaitu Alternatif TKL 7 dan TKL 8 mendapatkan nilai paling tertinggi dengan nilai yang sama 0,6. Tertinggi kedua yaitu TKL 2 dengan nilai 0,5666666667. Tertinggi ketiga yaitu TKL 3 dengan nilai 0,558333333. Tertinggi keempat yaitu TKL 4 dengan nilai 0,508333333. Tertinggi kelima yaitu TKL 5 dengan nilai 0,383333333. Dan nilai terendah yaitu TKL 6 dengan nilai 0,333333333. Berdasarkan hasil perhitungan menggunakan metode Profile matching yaitu peringkat 1 Grandline Vapor dengan nilai 4,49, peringkat 2 Gudang Vaporrizer dengan nilai 4,37, peringkat 3 JVS dan Hero57 dengan nilai yang sama yaitu 4,11, peringkat 4 Majelis Vaping dengan nilai 4,09, peringkat 5 Twentyone Vape dengan nilai 3,88, peringkat 6 Angkasa Vapor dengan nilai 8,855, dan peringkat terakhir yaitu Jem Vape Store dengan nilai 3,6. Berdasarkan hasil dari perbandingan menggunakan metode MSE, metode Smart mendapatkan nilai deviasi paling tinggi yaitu 2568.345972 dibandingkan metode Profile matching dengan nilai 1646.774725.  Dari hasil perbandingan tersebut metode Smart memiliki keakuratan yang lebih baik dibandingkan metode Profile matching karena diperbandingan metode MSE nilai dengan deviasi tertinggi adalah metode terbaik. Jadi metode Smart lebih layak (direkomendasikan) dalam pemilihan Supplier di Toko Garage Vapor Sampit.
Analisis Data Mining Menggunakan Metode Algoritma C4.5 Menentukan Penerima Bantuan Langsung Tunai Lukman Bachtiar; Mahradianur Mahradianur
Jurnal Informatika Vol 10, No 1 (2023): April 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v10i1.15115

Abstract

Bantuan Langsung Tunai (BLT) adalah bantuan yang dibuat oleh pemerintah untuk orang atau keluarga yang kurang mampu dan rentan akan kemiskinan dengan mereka yang memenuhi persyaratan yang ada pada program. Tujuan peneltian ini untuk memberikan masukkan tentang menentukan apakah keluarga tersebut masih berhak menerima atau tidak berhak menerima bantuan BLT, dimana masih ada keluarga yang berhak menerima dan memenuhi syarat dari program bantuan pemerintahan ini. Sumber data yang diperoleh dapat dari Kantor Desa Regei Lestari. Metode yang dipakai pada penelitian merupakan teknik data mining dengan algoritma C4.5 yang diterapkan pada software RapidMiner. Atribut yang dipakai untuk menentukan keluarga yang berhak menerima dan tidak berhak menerima pada program bantuan BLT yaitu Penghasilan, Status, Pekerjaan, Umur. Direct cash assistance (BLT) is assistance provided by the government for underprivileged and vulnerable people or families with those who meet the requirements of the program. The purpose of this research is to provide input on determining whether the family is still entitled to receive or not entitled to receive BLT assistance, where there are still families who are entitled to receive and meet the requirements of this government assistance program. The source of the data obtained can be from the Regei Lestari Village Office. The method used in this study is a data mining technique with the C4.5 algorithm applied to the RapidMiner software. The attributes used to determine families who are entitled to receive and who are not entitled to receive the BLT assistance program are Income, Status, Occupation, Age. The results of data classification using the C4.5 algorithm method and testing with RapidMiner are If Occupation = farmhand then the result is accepting with a value of 16 items from accepting and 0 not accepting, then the determining factor is obtained who is entitled to receive and who is not entitled to receive assistance direct cash (BLT).
SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI TEMPAT KOST UNTUK MAHASISWA DI KOTA SAMPIT Lukman Bachtiar; Fendy Fendy
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.833

Abstract

The number of students who want to continue their education makes students even leave their hometowns just to get a better education. This can make students look for a temporary place to live while studying or lecturing. There are several factors that make them prefer boarding houses as a temporary residence. A boarding house is a residence that is rented out to other parties with certain facilities at a more affordable price compared to hotels/inns. The number of boarding houses that offer different prices, facilities and have different locations will certainly make students confused in terms of determining the temporary residence they occupy. So, the decision support system by applying the profile matching DSS method is expected to help solve alternative housing problems for students or the general public. And also, with the results of research conducted can show that the profile matching method has good accuracy in providing boarding options for students. From the results of calculations using 5 alternatives, the highest total value or final value is obtained in alternative boarding house 2 with a total value of 9.398.
Co-Authors Anisa Agustina Melani Azhar Firdaus Bayu Nur Rohman Dendi Sugito Depi Rusda Dwi Wahyu Prabowo Dwika Lovitasari Yonia Fakhriza Firdaus faruq, Faishal Umar Febri Widianto Fendy Fendy Fitriani, Noorhikmah Haspianto, Mauli Hazanisya Priliani Hutrim Heri Abijono Jetri Susanto Kirana, Elika Thea Kurniawati Kusrini, Kusrini Mahawani , Shima Syiranda Mahradianur Mahradianur Meidy Saputra Muhaimin Muhaimin Muhammad Yunus Mustaqiem, Mustaqiem Nurahman Nurahman, Nurahman Nuralaeyda, Vivi Nurul Wahidah Prasetyaningrum, Eka Rakhma Sarita Ramadhani, Nur Rachmat Fajar Santi Nuripani Sahroningsih Esa Putri Saputri, Dewi Sigit Mulyanto Siti Nur Hasanah Slamet Riyadi Yuliana Yuliana Yunita, Selviana Yusril Yusuf Zandra Nur Arif