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PENDERITA JANTUNG KORONER (PJK) DENGAN GANGGUAN KEBUTUHAN OKSIGENASI Alamsyah, Alamsyah; Sulasri, Sulasri; Hasbullah, Hasbullah; Fahira Nur, A.; Vidyanto, Vidyanto; Hermiyanti, Hermiyanti; Ayu Wandira, Bertin
Healthy Tadulako Journal (Jurnal Kesehatan Tadulako) Vol. 5 No. 3 (2019)
Publisher : Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (152.792 KB) | DOI: 10.22487/htj.v5i3.129

Abstract

Penyakit jantung koroner adalah suatu penyakit yang disebabkan oleh kurangnya suplai darah ke otot jantung sebagai akibat tersumbatnya (obstruksi) pembuluh darah arteri koronaria. Data world Health Organization (WHO) tahun 2012 menunjukkan 17,5% juta orang di dunia meninggal akibat penyakit kardiovaskular atau 31% dari 56,5 juta kematian di seluruh dunia. Di seluruh kematian akibat penyakit kardiovaskuler 7,4 juta (42,3%) diantaranya disebabkan oleh Penyakit Jantung Koroner (PJK). Penelitian ini bertujuan untuk memberikan gambaran pada pasien Penyakit Jantung Koroner (PJK) dengan gangguan kebutuhan oksigenasi di Ruang Instalasi Gawat Darurat Rumah Sakit Tk.II Pelamonia. Metode penelitian ini adalah kualitatif dengan deskriptif observasional untuk mengetahui gambaran yang terjadi pada kedua pasien Penyakit Jantung Koroner (PJK) dengan gangguan kebutuhan oksigenasi setelah dilakukan asuhan keperawatan yang sama. Hasil studi kasus menunjukkan bahwa setelah dilakukan proses asuhan keperawatan terhadap pasien dengan gangguan kebutuhan oksigenasi pada pasien Penyakit Jantung Koroner, kedua pasien mengalami perubahan pada pola napas dengan nilai respirasi dari 28x/menit menjadi 20 x/menit. Ketidakefektifan pola napas dapat diatasi dengan pemberian terapi oksigen nasal kanul 3 liter/menit.
FAKTOR YANG BERHUBUNGAN DENGAN PEMBERIAN ASI EKSKLUSIF PADA ANAK UMUR 6 – 11 BULAN DI PUSKESMAS ANTANG MAKASSAR TAHUN 2019 Handayani, Tut; Alamsyah, Alamsyah; Samsir, Samsir
Healthy Tadulako Journal (Jurnal Kesehatan Tadulako) Vol. 8 No. 1 (2022)
Publisher : Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (951.238 KB) | DOI: 10.22487/htj.v8i1.462

Abstract

The Existence of Culinary at Lomban Festival in Jepara: Comparative Study of the Dutch East Indies and Reformation Period Indrahti, Sri; Prasetyawan, Yanuar Yoga; Alamsyah, Alamsyah; Maziyah, Siti
Komunitas Vol 10, No 1 (2018): March 2018
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/komunitas.v10i1.10971

Abstract

In Jepara, various cultural activities are conducted regularly every year. This cultural activity is always accompanied by a culinary presentation in accordance with the activities, needs, and interests. One of the cultural activities in Jepara is the lomban festival. In this local tradition, a variety of culinary is presented as complement to the cultural activities. The culinary consists of various types, such as market snacks and complete food with rice, vegetables, and side dishes. The culinary in this lomban activity is described in sequence and detail. The culinary depicts the belief, symbolic and spiritual meaning of the supporters of that culture. Through this study, various types of culinary in cultural activities are well described including the symbolic and spiritual meaning behind the culinary presentation.
Customer Segmentation Using the Integration of the Recency Frequency Monetary Model and the K-Means Cluster Algorithm Alamsyah, Alamsyah; Prasetyo, P. Eko; Sunyoto, Sunyoto; Bintari, Siti Harnina; Saputro, Danang Dwi; Rohman, Shohihatur; Pratama, Rizka Nur
Scientific Journal of Informatics Vol 9, No 2 (2022): November 2022
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v9i2.39437

Abstract

Purpose: This research aims to do customer segmentation in retail companies by implementing the Recency Frequency Monetary (RFM) K-Means cluster model and algorithm optimized by the Elbow method.Methods: This study uses several methods. The RFM model method was chosen to segment customers because it is one of the optimal methods for segmenting customers. The K-Means cluster algorithm method was chosen because it is easy to interpret, implement, fast in convergence, and adapt, but lacks sensitivity to the initial partitioning of the number of clusters. To help classify each category of customers and know the level of loyalty, they use a combination of the RFM model and the K-Means method. The Elbow method is used to improve the performance of the K-Means algorithm by correcting the weakness of the K-Means algorithm, which helps to choose the optimal k value to be used when clustering.Result: This research produces customer segmentation 3 clusters with a Sum of Square Error (SSE) value of 25,829.39 and a Callinski-Harabaz Index (CHI) value of 36,625.89. The SSE and CHI values are the largest ones, so they are the optimal cluster values.Novelty: The application of the integrated RFM model and the K-Means cluster algorithm optimized by the Elbow method can be used as a method for customer segmentation.
Co-Authors A Fahira Nur A.Paturusi, Idrus Achmad Syarifudin, Achmad Afifah, Eka Nur Afrilian Ardi Arus, Afrilian Ardi Amiruddin Kade Ana, Ninda Ade Anggyi Trisnawan Putra Arina Faila Saufa, Arina Faila Asriati Asriati, Asriati Bertin Ayu Wandira Bia Dwiripa Burhamzah, Muftihaturrahmah Dwi Ridho Aulianto Dwijanto Dwijanto, Dwijanto Endang Sugiharti, Endang Fahmi, Yuniar Krinanda Florentina Yuni Arini, Florentina Yuni Halim, Bravura Candra Hamida Umil Khoiriyah Handarko, Jefry Latu Handayani, Tut Hardi Suyitno Hasbullah Hasbullah Hermiyanti Hermiyanti, Hermiyanti Hidayat, Kukuh Triyuliarno I Ketut Eddy Purnama Ilham Insani, Muhammad Imam Ahmad Ashari, Imam Ahmad Indriani Tiara Putri, Indriani Tiara Jusman Mansyur Kumalasari, Putri Laksita Larasati, Ukhti Ikhsani Listiyani, Melia Marhaen Hardjo Marsiana, Siwi Mauridhi Hery Purnomo Much Aziz Muslim Muhammad, Afrizal Prasetyo Nur Nana Mulyana Ngesti Lestari Nur Halimah P. Eko Prasetyo Permadi, Dimas Bayu Satria Prasetya, Agesta Citrasena Pratama, Rizka Nur Purwandito, Rizky Ranindya Puspaning Mellaty, Ranindya Puspaning Rifan, Slamet Riza Arifudin Rochmad - Rohman, Shohihatur Rosalia, Hotmah Nur Saiful Amin Sam’an, Muhammad Sampurno, Global Ilham Samsir Samsir, Samsir Sebastian, Ligal Sekarningsih, Cindra Fajar Setijadi, Eko Simon Sumanjoyo Hutagalung Siti Harnina Bintari Siti Maziyah Sri Indrahti suardi suardi Sugiarto S Sugiman Sugiman Sulasri, Sulasri Sunyoto Sunyoto Suryani, Atik Susiloputro, Agus Vannia, Adji Mayumi Vidyanto, Vidyanto Walid Walid, Walid Wicaksana, Dinar Anggit Yanuar Yoga Prasetyawan Yuli Rohmiyati Yundari, Yundari Zaenal Abidin Zakariyati, Zakariyati Zulkarnaen, Zen